JP2012039333A - Information processing apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To precisely determine the surrounding environment where an information processing apparatus is positioned.SOLUTION: The information processing apparatus includes a first system, and a second system that can operate independently of the first system and determines the surrounding environment of the information processing apparatus in accordance with detection values of various sensors. The first system includes a storage section for storing programs prescribing the operation of the information processing apparatus in accordance with the surrounding environment determined by the second system, and a processing section for executing the programs. The second system includes a determination condition storage section for storing determination conditions indicating conditions of the detection values detected by the various sensors in association with environment types indicating types of the surrounding environment of the information processing apparatus, and an environment determination section for comparing the detection values from the various sensors provided in the information processing apparatus with the detection value conditions stored in the determination condition storage section and determining the surrounding environment of the information processing apparatus in accordance with the result of comparison.

Description

  The present application relates to a technique for determining an ambient environment in which an information processing apparatus is placed in an information processing apparatus.

  There is an attempt to automatically set an appropriate operation state in an information processing apparatus such as a mobile phone device or a personal computer according to the surrounding environment.

  Reference 1 discloses that a microphone provided in a portable mobile phone device detects ambient sounds during non-calling, analyzes a sound signal output from the microphone, and moves, stops, changes in movement of the portable mobile phone device, etc. A technique for determining the usage state of a computer is disclosed.

  Document 2 discloses a portable terminal that includes a vibration detection unit that detects vibration and detects that the train is running from a power spectrum pattern in which the vibration detected by the vibration detection unit is divided into frequency components. .

  Document 3 receives a timing signal indicating the signal transmission time from at least three or more base stations and position information of each base station, detects the current position of the own device, and moves from the change in the current position. A mobile communication terminal for determining speed is disclosed. The mobile communication terminal of Literature 3 detects vibration applied to the mobile communication terminal when it is determined that the moving speed is reduced, and continues the operation restriction when a certain vibration is detected.

  Document 4 discloses a mobile phone terminal that detects the number of location registration requests that are made when a plurality of base stations move to different radio areas, and determines the moving speed based on the detected number of location registration requests. ing. The mobile phone terminal of Literature 4 controls the incoming call mode according to the determined moving speed. Thereby, it can be switched to the manner mode without any human operation.

JP 2003-244314 A JP 2004-328100 A JP 2003-284138 A JP 2000-125339 A

  In the technique described in the prior art document, even if a plurality of sensors are provided, a combination of detection results from a plurality of sensors is not referred to in obtaining a determination result at a certain temporary point. For example, Japanese Patent Laid-Open No. 2003-284138 describes that a sensor to be detected is switched from movement detection to vibration detection when high-speed movement is detected. That is, in the above document, only a detection result from a single sensor is referred to in obtaining a determination result at a certain temporary point. Therefore, even if the information processing apparatus includes a plurality of sensors, they cannot be effectively utilized.

  In addition, the type and specification of the sensor mounted on the information processing apparatus may differ depending on the manufacturing time of the information processing apparatus or the model change of the product. In the prior art documents, no consideration is given to any change in the sensor in the manufacturing process of the information processing apparatus. For this reason, it is necessary to redesign the mounting of the processing circuit for the environment determination that is executed based on the detection value from the sensor every time the sensor mounted on the information processing apparatus is changed, which has a difficulty in manufacturing efficiency.

  Therefore, in the information processing apparatus disclosed in this specification, a method for efficiently and efficiently determining the surrounding environment using a plurality of sensors is examined.

  The information processing apparatus disclosed in the present specification can operate independently of the various sensors, the first system that operates under the control of the operating system, and the first system, and the detected values of the various sensors A second system for determining a surrounding environment of the information processing device based on the first system, wherein the first system defines an operation of the information processing device according to the surrounding environment determined by the second system A storage unit that stores a program; and a processing unit that executes the program under the control of an operating system, and the second system uses detection values from various sensors included in the information processing device as types of the sensor. Each of the information processing apparatus provided in the environment in association with an accumulation type that accumulates in association with the environment type indicating the type of the surrounding environment of the information processing apparatus. A determination condition storage unit that stores a determination condition indicating a condition of a detection value detected from the sensor, the detection value stored in the storage unit, and the detection value condition stored in the determination condition storage unit; And an environment determination unit that determines an environment surrounding the information processing apparatus by specifying the environment type corresponding to the condition satisfied by the detection value based on the comparison result.

  According to the information processing apparatus disclosed in this specification, the environment around the information processing apparatus can be determined accurately and efficiently.

1 is a diagram illustrating a configuration of an information processing apparatus according to a first embodiment. The figure which shows an example of the control content by an electric power control part The figure which shows an example of the control content by a sensor control part The figure which shows the example of the content of the storage part which concerns on Embodiment 1. The figure which shows the example of the content of the judgment condition storage part which concerns on Embodiment 1. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 1. The figure which shows the example of the content of the determination result by the environment determination part which concerns on Embodiment 1. The figure which shows an example of the flow of a process in the process part which concerns on Embodiment 1. The figure which shows the example of the content of the environment log recorded by the process part which concerns on Embodiment 1. FIG. The figure which shows the example of the content of control by the process part which concerns on Embodiment 1. FIG. The figure which shows the structure of the information processing apparatus which concerns on Embodiment 2. FIG. The figure which shows the example of the content of the determination result storage part which concerns on Embodiment 2. The figure which shows an example of the flow of a process of the notification part which concerns on Embodiment 2. The figure which shows the structure of the information processing apparatus which concerns on Embodiment 3. The figure which shows the example of the content of the transition condition storage part which concerns on Embodiment 3. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 3. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 4. The figure which shows the example of the content of the determination result by the environment determination part which concerns on Embodiment 4. The figure which shows the example of the content of the judgment condition storage part which concerns on Embodiment 5. The figure which shows the example of the content of control by the process part which concerns on Embodiment 5. FIG.

(Embodiment 1) [Configuration of Information Processing Apparatus According to Embodiment 1] FIG. 1 shows the configuration of an information processing apparatus according to Embodiment 1. 1 includes a first system unit 101, a second system unit 102, a wireless communication control unit 103, an antenna 104, a voice control unit 105, a vibrator control unit 106, a key input function unit 107, and a timer unit 108. A display unit 110, a speaker 105A, a microphone 105B, a battery 109, a power control unit 115, and the like. The information processing apparatus includes a high-speed movement detection unit 111, a vibration detection unit 112, a sound pressure detection unit 113, a human detection unit 114, and the like as various sensors.

  1 includes a wireless communication control unit 103, a display unit 110, an audio control unit 105, a vibrator control unit 106, a key input function unit 107, and the like, and various wirings such as bus wiring. It is connected to be communicable, and has functions such as controlling the operation of each component and receiving the operation result of each component and executing a predetermined process. The first system unit 101 shown in FIG. 1 has an arithmetic processing function that operates under the control of the operating system, and includes a processing unit 101A, a storage unit 101B, and a state control unit 101C as functional configurations.

  The processing unit 101A of the first system unit 101 has a function of executing a program stored in the storage unit 101B under the control of the operating system.

  The storage unit 101B of the first system unit 101 stores a program that defines an operation according to the surrounding environment determined by the second system unit 102.

  The state control unit 101C of the first system unit 101 has a function of controlling the operation state of the first system unit 101. For example, the state control unit 101 </ b> C restores other functions of the first system unit 101 from the dormant state by receiving a signal related to the input operation from the key input function unit 107. In addition, for example, the state control unit 101 </ b> C restores other functions of the first system unit 101 from the hibernation state by receiving notification of the surrounding environment from the second system unit 102 or interruption notification from the timer unit 108.

  The second system unit 102 illustrated in FIG. 1 can operate independently of the first system and has a function of determining the surrounding environment of the information processing device based on detection values of various sensors included in the information processing device. . In addition, the second system unit 102 receives the power supply from the information processing apparatus and operates the function of determining the surrounding environment at predetermined time intervals even when the operation of the first system is in a dormant state. The second system unit 102 according to the first embodiment includes a storage unit 102A, a determination condition storage unit 102B, an environment determination unit 102C, and a sensor control unit 102D as functional configurations.

  The storage unit 102A of the second system unit 102 has a function of storing detection values from various sensors included in the information processing apparatus in association with the types of the sensors.

  The determination condition storage unit 102B of the second system unit 102 correlates with the environment type indicating the type of the surrounding environment of the information processing device, and sets the detection value conditions detected from various sensors included in the information processing device in the environment. It has a function of storing the determination condition shown.

  The environment determination unit 102C of the second system unit 102 has a function of determining the surrounding environment of the information processing apparatus. The environment determination unit 102C compares the detection value stored in the storage unit 102A with the detection value condition stored in the determination condition storage unit 102B, and responds to a condition that the detection value satisfies based on the comparison result. The surrounding environment of the information processing apparatus is determined by specifying the environment type to be performed.

  The sensor control unit 102D of the second system unit 102 has a function of controlling operations of various detection units included in the information processing apparatus and storing detection values acquired from the various detection units in the storage unit 102A.

  The wireless communication control unit 103 illustrated in FIG. 1 has a function of supplying reception data obtained by executing decoding processing or the like on a radio wave signal received by the antenna 104 to the first system unit 101, or from the first system unit 101. The antenna 104 has a function of outputting a radio wave signal obtained by executing modulation processing or the like on the supplied transmission data. For example, the wireless communication control unit 103 has a wireless communication function compliant with various communication standards such as W-CDMA and CDMA2000.

  The voice control unit 105 shown in FIG. 1 has a function of converting voice data (for example, digital data in a PCM (pulse code modulation) format) supplied from the first system unit 101 into an analog signal and outputting the analog signal, and a microphone. It has a function of supplying audio data (for example, digital data in a PCM format or the like) obtained by sampling an analog signal input from 105B to the second system unit 102. Furthermore, the voice control unit 105 also has a function of supplying voice data acquired from the microphone 105B to the sound pressure detection unit 113.

  The vibrator control unit 106 shown in FIG. 1 has a function of receiving a control signal from the first system unit 101 and driving a vibrator that generates vibration.

  A key input function unit 107 illustrated in FIG. 1 has a function of receiving input from a user of the information processing apparatus. For example, as the key input function unit 107, an input button can be arranged on the information processing apparatus, or a touch panel can be arranged on the display unit 110.

  The timer unit 108 shown in FIG. 1 has a function of constantly receiving power supply from a battery 109 included in the information processing apparatus or an external power source (not shown) to measure the current time and notify each component of the current time, or a predetermined process. Has a function of starting each component in a cycle set to execute the.

  A battery 109 illustrated in FIG. 1 functions as a supply source of power supplied to each component of the information processing apparatus. For example, a secondary battery such as a lithium ion battery.

  The display unit 110 illustrated in FIG. 1 has a function of displaying display data supplied from the first system unit 101. For example, a liquid crystal display unit or an organic EL display unit.

  The high-speed movement detection unit 111 illustrated in FIG. 1 has a function of detecting that the movement of the information processing apparatus illustrated in FIG. 1 is moving at a speed higher than a preset speed. For example, the high-speed movement detection unit 111 calculates a movement speed based on a change amount per unit time of position information detected by the GPS receiver, and detects that the calculated movement speed is equal to or greater than a predetermined threshold. By doing so, it is possible to detect high-speed movement. For example, as described in Japanese Patent Application Laid-Open No. 2003-284138, high-speed movement may be detected based on the amount of change per unit time in the position information received from the base station. Further, for example, as described in Japanese Patent Laid-Open No. 2000-125339, the number of position registration requests that are performed when a plurality of base stations move to different radio areas is detected, and the number of detected position registration requests High speed movement may be detected based on the above.

  A vibration detection unit 112 illustrated in FIG. 1 has a function of detecting vibration of the information processing apparatus illustrated in FIG. For example, an acceleration sensor can be used.

  The sound pressure detection unit 113 illustrated in FIG. 1 has a function of detecting the intensity of noise in the surrounding environment of the information processing apparatus collected from the microphone 105B. For example, the sound pressure detection unit 113 outputs the sound pressure level of noise acquired based on sound data (for example, digital data in PCM format) supplied from the sound control unit 105.

  The human detection unit 114 shown in FIG. 1 acquires proximity information of a heat source such as a human body from an infrared sensor, and determines whether there is human presence or no human presence or the degree of proximity according to the proximity degree indicated in the proximity information. Has a function to output.

  The power control unit 115 illustrated in FIG. 1 has a function of controlling a power supply system to each component of the information processing apparatus. For example, the power control unit 115 switches the power system according to the operation state of the information processing apparatus. As a result, it is possible to select a configuration that operates by receiving power supply.

FIG. 2 shows an example of the contents of control by the power control unit 115. The content example illustrated in FIG. 2 includes a power system (R101) and a supply destination (R102) of the power system. In the example of FIG. 2, the timer unit 108, the power control unit 115, and the state control unit 101C are shown as the supply destination (R102A) of the system 1 (R101A). This indicates that each configuration of the timer unit 108, the power control unit 115, and the state control unit 101C is supplied with power by the system 1. The same applies to other power systems. That is, the second system unit 102 is based on the system 2 (R101B), the first system unit 101 is based on the system 3 (R101C), the wireless communication control unit 103 is based on the system 4 (R101D), and the voice control unit 105 is based on the system 5 (R101E). ), The display unit 110 is based on the system 6 (R101F), the high-speed movement detection unit 111 is based on the system 7 (R101G), the vibration detection unit 112 is based on the system 8 (R101H), and the sound pressure detection unit 113 is based on the system 9 (R101I). Thus, the human detection unit 114 receives power supply from the system 10 (R101J). Note that the information processing apparatus according to the first embodiment is not limited to the above power system. For example, system 1 (R101A) shown in FIG. 2 may be divided into a plurality of systems for each supply destination, or a plurality of power systems (for example, system 1 (R101A) and system 2 (R101B)) are combined into one system. You may integrate. Further, for example, from the viewpoint of power saving, it may be effective to use different systems for the power system that supplies power to the first system unit 101 and the power system that supplies power to the second system unit 102. The reason is that the first system unit 101 and the second system unit 102 do not necessarily have to operate simultaneously. The above is the outline of the configuration of the information processing apparatus according to the first embodiment.
[Description of Sensor Control Unit 102D] Next, the operation of the sensor control unit 102D included in the second system unit 102 will be described. The sensor control unit 102D has a function of acquiring detection values from various detection units at a predetermined cycle and processing the data format of the detection values as necessary. And it has further the function to store the detection value acquired from various detection parts, or the detection value after processing in association with the sensor type in the storage part 102A.

  Each detection unit may store the detection value in a unique storage area, or may store the detection value in a predetermined storage area of the second system unit 102. For example, when the second system unit 102 and the detection unit are configured in a single LSI chip, the latter method may be advantageous. For example, in the case where the second system unit 102 and the detection unit are configured by different LSI chips, the former method may be advantageous from the viewpoint of data writing speed. The sensor control unit 102D only needs to appropriately change the reference destination of the detection value according to the method adopted as described above. Alternatively, the sensor control unit 102D tries the reference of the detected value from a plurality of reference destinations of the storage area in the second system unit and a preset external storage area (for example, the storage area of the detection unit), and succeeds in the reference. An implementation that adopts the one reference value as a processing target may be adopted. In this case, even if the storage method employed is different for each sensor, it is not necessary to change the mounting of the sensor control unit.

  FIG. 3 shows an example of the contents of the period set for each sensor type as an example of the contents of control by the sensor control unit 102D. In the example shown in FIG. 3, a content example having a sensor type (R201), a period (R202) set in association with the sensor type (R201), and an execution target (R203) is shown. In the example shown in FIG. 3, “3 minutes” is set as the cycle (R202A) for the sensor type (R201A) “high-speed movement detection”, and “processing A” is set as the execution target (R203A). This is because the sensor control unit 102D executes the processing module identified in the processing A (R203A) at a 3-minute interval (R202A), thereby acquiring detection values detected by the high-speed movement detection unit 111 at an interval of 3 minutes. It shows that The same applies to other sensor types. That is, “40 ms” as the cycle (R202B) for the sensor type (R201B) “vibration detection”, “Processing B” as the execution target (R203B), and the cycle (R202C) for the sensor type (R201C) “sound pressure detection”. “Processing C” is set as “3 minutes” and the execution target (R203C), “10 seconds” is set as the period (R202D) for the sensor type (R201D) “human detection”, and “Processing D” is set as the execution target (R203D). Has been. In the example of FIG. 3, for the sensor type (R201E) “vibration detection”, the cycle (R202E) “1 minute” and the execution target (R203E) “processing E” are set. This indicates that the process E (R203E) is executed at a one minute interval (R202E) separately from the process B (R203B) executed at a 40 msec interval (R202B) as a process for vibration detection. Thus, by setting a plurality of cycles (R202) and execution targets (R203) for one sensor type (R201), numerical processing in different time units is performed based on the detection value of one sensor type. It becomes possible to execute.

Next, processing of the data format for the detection values acquired from the various detection units will be described. For example, the sensor control unit 102D can store the value obtained by converting the detection value acquired from the vibration detection unit 112 into the number of steps in the accumulation unit 102A. Specifically, as shown in FIG. 3, for example, in the process A executed every 40 milliseconds, the detection values (for example, acceleration information) acquired from the vibration detection unit 112 are integrated, and from the integrated value for a predetermined unit time. Vibration energy is calculated, and when the calculated value is higher than a predetermined threshold, the number of steps is counted by one. Then, for example, each time one minute (R202E) elapses, the sensor control unit 102D executes the processing module identified by the processing E (R203E) to store the number of steps counted in the one minute in the accumulation unit 102A. The count of the number of steps is repeated after clearing the count value of the number of steps to zero. As described above, by processing in advance the detection value acquired from the detection unit in the sensor control unit 102D, the determination process in the environment determination unit 102C can be efficiently executed. For the detection values acquired from other detection units, processing for efficiently executing the determination process in the environment determination unit 102C may be performed as necessary. Further, when a change occurs in various detection units such as adding a new sensor, it is only necessary to register the processing module corresponding to the sensor type related to the change and its execution cycle in the control content of the sensor control unit.
[Content Example of Storage Unit 102A] FIG. 4 illustrates a content example of the storage unit 102A according to the first embodiment. In the example of FIG. 4, sound pressure detection [dB] (R3011), vibration detection [steps / minute] (R3012), and high-speed movement detection [m / minute] as sensor types (R301) associated with detection values from various sensors. (R3013), human detection (R3014) is shown. In the example of FIG. 4, the detection value “70 dB” associated with the sensor type “sound pressure detection” (R3011) and the detection value “20 steps / minute” associated with the sensor type “vibration detection” (R3012). (R3022), a detection value “500 m / min” (R3023) associated with the sensor type “high-speed movement detection” (R3013), and a detection value “corresponding to the sensor type“ human detection ”(R3014). “None” (R3024) is shown. The detection value “none” (R3024) associated with the sensor type “human detection” (R3014) indicates an example in which no human is detected in human detection.

  Various implementations can be considered for associating sensor types with detected values. For example, a correspondence relationship may be maintained by storing a code value indicating a sensor type and a detection value associated with the sensor type in a memory, or storing the sensor type and a predetermined address on the memory. And the correspondence relationship may be maintained by storing the detection value at the associated address.

Although not shown in the content example of FIG. 4, a storage area for holding the time when the sensor control unit 102D stores each detection value, the time when the detection value is output by each detection unit, and the like, The sensor type (R301) and / or the detection value (R302) may be associated with each other. Thereby, even when the time interval at which each detection unit outputs a detection value and the time interval at which the second system unit 102 executes the environment determination process based on the detection value from each detection unit are different, the second system unit 102 Each time relating to the detected value can be referred to in the environment determination process.
[Content Example of Determination Condition Storage Unit 102B] FIG. 5 shows an example of content of the determination condition storage unit 102B according to the first embodiment. In the example of FIG. 5, the environment type R401 associated with the determination condition is as follows: train (R401A), car (R401B), walk 1 (R401C), walk 2 (R401D), walk 3 (R401E), stationary 1 (R401F). , Stationary 2 (R401G) is shown. The inside of the train (R401A) is an environment type indicating that an information processing apparatus exists in a vehicle that operates a conventional railway line used for commuting, for example. The inside of the automobile (R401B) is an environment type indicating that the information processing apparatus exists in the car of the private car, for example. Walk 1 (R401C) to Walk 3 (R401E) are environment types indicating that a user carrying the information processing apparatus is walking or running, for example. Stationary 1 (R401F) or Stationary 2 (R401G) is an environment type indicating that the information processing apparatus is in a stationary state such as being placed on a desk. The environment types shown in FIG. 5 are examples, and the first embodiment is not limited to these content examples.

  In the example of FIG. 5, sound pressure detection [dB] (R4021), vibration detection [steps / minute] (R4022), high-speed movement detection [m / minute] (R4023), human beings are determined as the determination condition R402 associated with the environment type R401. Judgment conditions for various sensor detection values of the feeling detection (R4024) are shown. For example, as a determination condition associated with the environment type “inside the train” (R401A), sound pressure detection “60 dB or more” (R4021A), vibration detection “more than 10 steps / minute and less than 40 steps / minute” (R4022A), high speed The movement detection “500 m / min or more” (R4023A) is shown. The human detection “-” (R4024A) indicates that the determination condition for the human detection sensor is not set.

  In the example of FIG. 5, the condition value for vibration detection (R4022) differs between the determination condition for the environment type “inside the train” (R401A) and the determination condition for the environment type “inside the car” (R401B). The reason is that the difference in the environment between the inside of the train and the inside of a private car such as when commuting appears in the difference in the number of steps measured. For example, in a train such as when commuting, it is possible to detect walking in the vehicle, misdetect the vehicle's shaking as the number of steps, or to move the foot in order to maintain posture against the vehicle's shaking. It is easy to detect as the number of steps. On the other hand, since each passenger sits in a seat in a private car, the number of steps detected while riding tends to be smaller than in a train. In the example of FIG. 5, such a difference in characteristics between a train and a car is used. The first embodiment is not limited to the content example of FIG. That is, it is only necessary to set different values for the condition value for vibration detection (R4022) for the determination condition for the environment type “inside the train” (R401A) and the determination condition for the environment type “inside the car” (R401B). The condition value (R4022A) for vibration detection of the type “inside the train” (R401A) may be smaller than the condition value (R4022B) for the vibration detection of the determination condition of the environment type “inside the car” (R401B). This is because there may be a case in which there is a tendency that more steps than the number of steps assumed in the train are detected depending on the road surface condition on which the vehicle is traveling, the vehicle type of the vehicle, and the like.

In the example of FIG. 5, the determination conditions for the environment types “walk 1” (R401C) to “walk 3” (R401E) and the determination conditions for other environment types (for example, in a train (R401A) or in a car (R401B)). Is different from the condition value of sound pressure detection (R4022). The reason is that the difference in the environment between the state where the user carrying the information processing apparatus is walking and other states is likely to appear in the measured sound pressure. For example, when a user carrying an information processing device is walking, there are few noise sources that regularly emit noise, and the information processing device is accommodated in a bag or a pocket of clothes. In many cases, the measured sound pressure tends to be small. On the other hand, in other environments, for example, in trains and automobiles, there are always noise sources that constantly emit noise, such as noise generated by motors and noise generated by vehicles traveling on tracks. The sound pressure measured compared to the state tends to increase. In the example of FIG. 5, the difference in characteristics between such a walking state and other states is used. The first embodiment is not limited to the content example of FIG. That is, the determination conditions for the environment types “walk 1” (R401C) to “walk 3” (R401E) and the determination conditions for other environment types may be set to different values for the sound pressure detection (R4021) condition value. I can do it.
[Example of Process Flow in Environment Determination Unit 102C According to First Embodiment] FIG. 6 illustrates an example of a process flow in the environment determination unit 102C according to the first embodiment. The processing example illustrated in FIG. 6 is repeatedly executed at an arbitrary timing as long as power is supplied from the battery of the information processing apparatus 100 and / or the external power supply. In the example illustrated in FIG. 6, a system is assumed in which the number of environment types is M and the number of sensor types is N.

  First, as an initial setting, the environment determination unit 102C sets (clears to 0) a 0 value to the determination count value counted for each environment type (S101). For example, in a system having M environment types, an array having M elements can be used as a storage area for storing a determination count value that is counted for each environment type.

  Next, the environment determination unit 102C executes loop processing A from S102 to S109. “I = 0” shown in S102 of FIG. 6 indicates that the initial value of the loop variable i of the loop process A is 0. Further, “i ++” shown in S109 of FIG. 6 indicates that 1 is added to the loop variable i every time the loop process A completes. “I = N” indicates that the process ends when the value of the loop variable i reaches N (the number of sensor types) as an end condition of the loop process A. In the example of the process flow shown in FIG. 6, the determination of the loop process end condition is executed after the loop variables are counted. Therefore, for example, the process shown in S103 of FIG. 6 is executed for each value from the loop variable i = 0 to the loop variable i = N−1.

  In the loop process A, the environment determination unit 102C refers to the i-th detection value from the storage unit 102A (S103). For example, in a system with N sensor types, the storage unit 102A can use an array having N elements as a storage area that stores detection values for each sensor type. In the content example shown in FIG. 4, the number N of sensor types is 4, i = 0th detection value is a detection value “70 dB” for the sound pressure detection value, and i = 1st detection value is for vibration detection. The detected value is “20 steps / minute”.

  Next, in the loop process A, the environment determination unit 102C executes the loop process B from S104 to S108. The notation content shown by S104 and S108 in FIG. 6 is the same as S103 and S109.

  In the loop processing B, the environment determination unit 102C refers to the determination condition corresponding to the sensor type of the detection value (hereinafter referred to as a reference value) referred to in S103 for the jth environment type from the determination condition storage unit 102B. (S105). For example, in a system in which the number of environment types is M and the number of sensor types is N, the determination condition storage unit 102B uses a two-dimensional array having M × N elements as a determination condition for each sensor type. Can be used as a storage area that accommodates in association with the environment type. In the content example shown in FIG. 5, the number M of environment types is 7, and the number N of sensor types is 4. In FIG. 5, the j = 0th environment type is “in a train”. The i = 0th determination condition for the environmental type “inside the train” is the determination condition “60 dB or more” for sound pressure detection (R4021A), and the i = 1st determination condition is the determination condition “10 steps / Min. And less than 40 steps / min. "(R4022A).

  Next, in the loop process B, the environment determination unit 102C determines whether or not the reference value satisfies the determination condition referred to in S105 (S106). When the reference value satisfies the determination condition, the environment determination unit 102C adds 1 to the determination count for the jth environment type (S107). Then, after updating the loop variable j of the loop process B, the end condition (j = M) of the loop process B is determined. The environment determination unit 102C executes the loop process B as the process in the loop process A until the end condition of the loop process B is satisfied. As described above, by executing the loop process B, the i-th detection value is collated with a total of M determination conditions associated with the environment types from j = 0 to j = M−1. Is called.

  When the end condition of the loop process B is satisfied in S108, the environment determination unit 102C ends the loop process B, updates the loop variable i, and then determines the end condition (i = N) of the loop process A. Then, the environment determination unit 102C executes the loop process A until the end condition of the loop process A is satisfied. As described above, by executing the loop process A, the detection values from i = 0 to i = N−1 are collated with the determination condition by the loop process B.

  Next, the environment determination unit 102C specifies the environment type corresponding to the determination count value having the largest value after the loop processing A is completed (S110). FIG. 7 shows a content example of the determination result formed by the processing up to S110. In the example of FIG. 7, an example of a determination result based on the content example of the storage unit 102A illustrated in FIG. 4 and the content example of the determination condition storage unit 102B illustrated in FIG. In the example of FIG. 7, “1” is written as the determination result (R5021A, R5022A, R5023A) of the “sound pressure detection”, “vibration detection”, and “high-speed movement detection” of the environment type “inside the train” (R501A). Yes. This indicates that the detection value referenced from the storage unit 102A satisfies the determination condition. On the other hand, “0” is written as the determination result (R5022B) of “vibration detection” of the environment type “inside the car” (R501B). This indicates that the detection value referenced from the storage unit 102A does not satisfy the determination condition. In FIG. 7, “−” is written as the determination result of “human detection” (R5024A, R5024B, R5024C, R5024D, R5024E, R5024F, R5024G). This indicates that the determination process is not performed because the determination condition is not set in the determination condition storage unit 102B. The determination count value (R503) in FIG. 7 indicates the number of determination conditions determined that the detected value satisfies the condition for each environment type. For example, in the environment type “in the train”, the determination results (R5021A, R5022A, R5023A) of “sound pressure detection”, “vibration detection”, and “high-speed movement detection” are “1”, and the determination count value that is the sum of the determination results (R503A) is “3”. In addition, in the environment type “in-car”, the determination results (R5021B, R5023B) of “sound pressure detection” and “high-speed movement detection” are “1”, and the total determination count value (R503B) is “2”. It becomes. In the example illustrated in FIG. 7, the determination count value having the largest value is “3” (R503A), and the environment type corresponding to the determination count value (R503A) is “inside the train” (R501A).

  Next, the environment determination unit 102C outputs information related to the surrounding environment based on the environment type specified in S110 (S111). For example, the environment determination unit 102C may store the environment type specified in S110 in the storage area in the second system unit 102 as the output process in S111. In this case, the first system unit 101 refers to the environment type stored in the storage area in the second system unit 102 at an arbitrary timing, so that the determination result by the environment determination unit 102C of the second system unit 102 is obtained. Can be known. As another example of the output processing of S111, the environment determination unit 102C transmits information about the surrounding environment to the first system unit 101 through circuit wiring, and stores the information about the surrounding environment in a storage area in the first system unit 101. May be. In this case, the first system unit 101 refers to the information related to the surrounding environment stored in the storage area in the first system unit 101 at an arbitrary timing, so that the environment determination unit 102C of the second system unit 102 The determination result can be known.

The above is an example of the flow of processing in the environment determination unit 102C according to the first embodiment. The environment determination unit 102C according to the first embodiment is not limited to the example illustrated in FIG. 6, and the execution procedure of each process may be changed without departing from the spirit of the first embodiment.
[Description of Processing in the Processing Unit 101A of the First System Unit 101] FIG. 8 illustrates an example of a processing flow in the processing unit 101A included in the first system unit 101 according to the first embodiment. The processing unit 101A according to the first embodiment is not limited to the example illustrated in FIG. 8, and the execution procedure of each process may be changed without departing from the spirit of the first embodiment.

  First, the processing unit 101A refers to information on the surrounding environment generated by the second system unit 102 from a predetermined storage area at an arbitrary timing (S201). The arbitrary timing in S201 may be triggered by, for example, receiving notification of information related to the surrounding environment from the second system unit 102, or the arrival of a predetermined cycle regardless of the operation of the second system unit 102. It may be an opportunity. Further, the predetermined storage area in S201 is a storage area that stores information related to the surrounding environment in the output processing in S111.

  Next, the processing unit 101A records information related to the surrounding environment in an environment log provided in a storage area of the information processing apparatus (S202). The environment log in S202 may be provided in a storage area mounted in the first system unit 101, or provided in a storage area in a portable storage medium (for example, a micro SD card) inserted in the information processing apparatus. Also good.

  FIG. 9 shows an example of the contents of the environment log stored by the processing unit 101A according to the first embodiment. In the example of FIG. 9, the start period (R601) and the end period (R602) and the environment type (R603) associated with them are shown. In the example of FIG. 9, the environment type “stationary 1” (R603A) is associated with the start period “2010/07 / 20,00: 00” (R601A) and the end period “2010/07 / 20,07: 49” (R602A). Is recorded. This is because the environment type indicated in the information about the surrounding environment is “stationary 1” in the time range “2010/07 / 20,00: 00” to “2010/07 / 20,07: 49”, and the information processing apparatus Indicates that it was stationary. The same applies to other logs. For example, from the start "2010/07 / 20,07: 50" (R601B) to the end "2010/07 / 20,08: 00" (R602B), the environment type (R603B) is "walking 1" It shows that the user of the processing device was in a walking state, in particular, a walking state corresponding to the determination condition of “walking 1”. In the example of the determination condition shown in FIG. 5, walking 1 is set as a walking state with fewer steps per unit time (1 minute in the example of FIG. 5) than the walking state corresponding to walking 2 and walking 3. Yes. That is, it is estimated that the walking state corresponding to walking 1 is a state of walking more slowly than the walking state of walking 2 and walking 3. In addition, from the start period “2010/07 / 20,08: 01” (R601C) to the end period “2010/07 / 20,08: 15” (R602C), the environment type (R603C) is “in the train”, and the start period “ From 2010/07 / 20,08: 16 ”(R601D) to the end“ 2010/07 / 20,08: 20 ”(R602D), the environmental type (R603D) is“ walking 3 ”, and the beginning“ 2010/07/20 ” An example of content in which the environmental type (R603E) is “stationary 2” is shown in the period from “20,08: 21” (R601E) to the final period “2010/07 / 20,17: 30” (R602E). In this way, by collecting the recording logs as shown in FIG. 9, it is possible to confirm the manner in which the surrounding environment is changing as time elapses.

  In order to generate the recording log of the content example illustrated in FIG. 9, the processing unit 101A may collect and record information related to the surrounding environment referred to in S201 in S202. For example, the processing from S201 to S203 is repeatedly executed at an arbitrary timing. Then, the environment log recorded based on the information about the surrounding environment referred to at the time of the previous execution of S201 is compared with the information about the surrounding environment referred to at the time of the execution of the current S201, and the environment type that is the same as the previous time and the current time is compared. As long as the content is shown, the previous time and current time may be integrated into one record and recorded in the environment log. For example, the information related to the surrounding environment referred to at time “2010/07 / 20,00: 00” indicates the environment type “stationary 1” and is compared with the environment log (not shown) recorded by the previous reference. As a result, it is assumed that the current and previous environmental types are different. In this case, the current time “2010/07 / 20,00: 00” is stored in the initial period (R601), and the environment type “stationary 1” indicated in the information related to the current surrounding environment is stored in the environment type (R603). . After that, when the information related to the surrounding environment referred to in S201 that is repeatedly executed at an arbitrary timing indicates the environment type “stationary 1”, the previous time recorded after time “2010/07 / 20,00: 00” The current time is stored at the end of the recording log (R602). Here, the time stored in the start period (R601) and the end period (R602) may be the execution time of the process in the processing unit 101A (for example, the time when S201 is executed), or the execution time of the environment determination process in the second system unit 102 Or other time, such as the acquisition time of the detection value in each detection part, may be sufficient. For example, when generating information related to the surrounding environment in the second system unit 102, other times such as the execution time of the environment determination process in the second system unit 102 and the acquisition time of the detection value in each detection unit are set as the surrounding environment. It may be included in the information regarding.

  Next, the processing unit 101A changes the operation state of the information processing apparatus to a state according to the surrounding environment (S203). FIG. 10 is a diagram illustrating a content example of control by the processing unit 101A according to the first embodiment. In the content example of FIG. 10, the environment type (R701) and the operation state (R702) associated therewith are shown. For example, the operation state (R702A) “Manner mode” is shown in association with the environment type (R701A) “inside the train”. This indicates that, when the information regarding the surrounding environment referred to in S201 indicates the environment type “inside the train”, the processing unit 101A changes the operation state of the information processing apparatus to “Manner mode” in S203. The same applies to other environment types. Note that the manner mode is, for example, using vibration of a vibrator instead of a ringing tone to report that an incoming call request transferred from a base station via a wireless communication line has been received, or blocking a wireless communication function. This means a mode that maintains an operating state that does not emit radio waves. The drive mode means a mode in which, for example, an automatic response is made to the incoming call request, or an operation state is maintained that does not report that the incoming call request has been received.

As described above, information about the surrounding environment determined based on the detection values of the various sensors in the second system unit 102 that can operate independently of the first system unit 101 is displayed at an arbitrary timing in the first system unit 101. You can refer to it. For example, even if the first system unit 101 is in a low power consumption hibernation state, the second system unit 102 can generate information related to the surrounding environment. Further, since the second system unit 102 does not require complicated calculations, it can be implemented with a smaller circuit scale and less power consumption than the first system unit 101. For example, the second system unit can be implemented to operate with a lower clock number than the operation clock used in the first system unit. For example, the operation clock of the first system unit can be set to 600 MHz, and the operation clock of the second system unit can be set to 48 MHz. For this reason, even when a plurality of detection units are operated in combination as shown in the first embodiment, the second system unit 102 that can operate even when the first system unit 101 is in a dormant state controls the operation of each detection unit and the surroundings. Since information about the environment is generated, it is possible to reduce power consumption required for determining the surrounding environment.
(Embodiment 2) [Description of Configuration of Information Processing Device According to Embodiment 2] FIG. 11 shows a configuration of an information processing device according to Embodiment 2. The configuration shown in FIG. 11 is different from the configuration shown in FIG. 1 in that the second system unit 102 in FIG. 11 includes a determination result storage unit 102E and a notification unit 102F. Since other configurations are the same as those of the first embodiment, description thereof is omitted.

  The determination result storage unit 102E illustrated in FIG. 11 has a function of storing the determination result determined by the environment determination unit 102C.

  FIG. 12 shows an example of the contents of the determination result storage unit 102E according to the second embodiment. In the content example shown in FIG. 12, the date and time (R801) and the environment type (R802) associated therewith are shown. In the example of FIG. 12, “2010/07 / 20,07: 49” is stored as the date and time (R801A), and “stationary 1” is stored as the environment type (R802A). This indicates, for example, that the determination result of the environment determination process executed on the date “2010/07/20, 07:49” is the environment type “stationary 1”. Note that the time (R801) in FIG. 12 may be the time when the detection value is acquired from the detection unit, the time when the detection value is output by the detection unit, or the like in addition to the execution time of the environment determination process.

  The notification unit 102F illustrated in FIG. 11 refers to information on the surrounding environment indicating the determination result determined by the environment determination unit 102C in the previous determination operation from the determination result storage unit 102E, and refers to the previous determination result and the current determination result. It has a function of comparing the determination result and notifying the first system of the determination result when there is a change in the determination result.

  FIG. 13 shows an example of the processing flow of the notification unit 102F according to the second embodiment. Note that the notification unit 102F according to the second embodiment is not limited to the example illustrated in FIG. 13, and the execution procedure of each process may be changed without departing from the spirit of the second embodiment.

  First, the notification unit 102F receives the determination result from the environment determination unit 102C and refers to the previous determination result from the determination result storage unit 102E (S301). In the content example of FIG. 12, the environment type “stationary 1” is referred to.

  The notification unit 102F compares the current determination result with the previous determination result, and determines whether or not the environmental types are different (S302). If the environment type is different between the current determination result and the previous determination result (YES in S302), the notification unit 102F notifies the first system unit 101 that the determination result has changed (S303). Thereby, when the first system unit 101 is in the dormant state, the first system unit 101 is recovered from the dormant state by the action of the state control unit 101C of the first system unit 101. Then, the restored first system unit 101 can execute processing based on information related to the surrounding environment by the processing unit 101A described in the first embodiment. Then, the notification unit 102F stores the current determination result in the determination result storage unit 102E (S304). On the other hand, if the current determination result and the previous determination result have the same environment type (NO in S302), the notification unit 102F skips S303 and executes S303.

As described above, the first system unit 101 is notified only when the determination results are different, and when the determination result is the same, the notification to the first system unit 101 can be omitted. The time to do can be made longer compared to the configuration without the notification unit 102F according to the second embodiment. For example, from the viewpoint of reducing the power consumption of the entire information processing apparatus, it is desirable to increase the duration of the hibernation state of the first system unit 101 with a large amount of power consumption. The notification unit 102F according to the second embodiment can help to realize such a power saving measure.
Embodiment 3 FIG. 14 shows a configuration of an information processing apparatus according to Embodiment 3. The configuration shown in FIG. 14 is different from the configuration shown in FIG. 1 in that the second system unit 102 in FIG. 14 includes a determination result storage unit 102E and a transition condition storage unit 102G. Further, due to the difference in the configuration, the processing flow of the environment determination unit 102C according to the third embodiment is different from that of the environment determination unit 102C according to the first embodiment.

  The determination result storage unit 102E illustrated in FIG. 14 has a function of storing the determination result determined by the environment determination unit 102C. For example, it is the same as the determination result storage unit 102E described in the second embodiment. That is, the content example illustrated in FIG. 12 is appropriate as the content example of the determination result storage unit 102E according to the third embodiment.

  The transition condition storage unit 102G illustrated in FIG. 14 has a function of storing a transition condition indicating whether a transition from one determination result to another determination result is allowed. For example, the transition condition storage unit 102G sets a value indicating whether or not to allow a transition in association with a determination result (one determination result) serving as a transition source and a determination result (other determination result) serving as a transition destination. The transition condition which has is stored. An example of the contents of the transition condition storage unit 102G is shown in FIG. In the example of FIG. 15, the determination items that are the transition sources are arranged in the horizontal items (R901A to R901G), and the determination results that are the transition destinations are arranged in the vertical items (R902A to R902G). For items (R903AA to R903GG) in which the vertical item and the horizontal item intersect, transition from the determination result that is the transition source indicated by the horizontal item to the determination result that is the transition destination indicated by the vertical item is allowed. Transition conditions indicating whether or not are shown. In the example of FIG. 15, “1” is shown when transition is allowed, and “0” is shown when transition is not allowed.

  The environment determination unit 102C illustrated in FIG. 14 refers to information about the surrounding environment indicating the previous determination result from the determination result storage unit 102E, and is the transition from the previous determination result referred to the current determination result permitted? Has a function of determining the state based on the transition condition. When the transition is not permitted, the environment determination unit 102C invalidates the current determination result and adopts the previous determination result. For example, when the current determination result is invalid, the environment determination unit 102C may discard the information indicating the determination result without storing it in the determination result storage unit 102E, or temporarily refer to it for later processing. You may store in a storage area.

  FIG. 16 shows an example of the flow of processing in the environment determination unit 102C according to the third embodiment. In the example illustrated in FIG. 16, the same reference numerals are given to the same portions as the processing flow in the environment determination unit 102 </ b> C according to the first embodiment illustrated in FIG. 6, or the illustration is omitted. Note that the environment determination unit 102C according to the third embodiment is not limited to the example illustrated in FIG. 16, and the execution procedure of each process may be changed without departing from the spirit of the third embodiment.

  First, the environment determination unit 102C executes processing up to S110, and refers to the previous determination result from the determination result storage unit 102E (S401). The transition condition storage unit 102G refers to the transition condition associated with the current determination result acquired by the processing up to S110 and the previous determination result acquired at S401 (S402). For example, when the environment type indicated by the previous determination result is in the train (R901A) and the determination result indicated by the current determination result is walking 1 (R902C), the content example shown in FIG. Reference is made to “1” (R903AC) indicating that this is to be done. On the other hand, for example, when the environment type indicated in the previous determination result is in the train (R901A) and the determination result indicated in the current determination result is in the car (R901B), the content example shown in FIG. Reference is made to “0” (R903AB), which indicates that is not allowed.

  The environment determination unit 102C determines whether or not the transition to the current determination result is allowed based on the transition condition referred to in S402 (S403). When the transition to the current determination result is allowed (YES in S403), the environment determination unit 102C stores the current determination result indicating the environment type specified in S110 in the determination result storage unit 102E (S404). S111 described in the first embodiment is executed. On the other hand, when the transition to the current determination result is not permitted (NO in S403), S404 and S111 are skipped.

  As described above, it is determined whether or not the transition to the current determination result is allowed based on the transition condition, and the transition to the invalid determination result is avoided, so that erroneous determination in the environment determination unit 102C can be prevented. For example, in the content example of FIG. 15, regarding the transition destination determination results “stationary 1” and “stationary 2”, if the transition source determination result is “in a train” or “in a car”, the transition is permitted. A value “0” (R903AF, R903BF, R903AG, R903BG) indicating not to be displayed is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “stationary 1” or “stationary 2” most, the determination result immediately before is “in the train” or “in the car” ”, There is a high possibility that the train or car on board is in a stopped state, so the transition condition is set so that the previous judgment result“ in the train ”is maintained without allowing the transition. This is due to the reason. On the other hand, for the transition destination determination results “walk 1” to “walk 3”, if the transition source determination result is “in a train”, “in a car”, “stationary 1”, or “stationary 2”, A value “1” (R903AC, R903BC, R903FC, R903GC, R903AD, R903BD, R903FD, R903GD, R903AE, R903BE, R903FE, R903GE) indicating that the transition is allowed is shown. This is a case where the immediately preceding determination result is “in a train”, “in a car”, “stationary 1”, or “stationary 2”, and the detection value from each detection unit is “walking 1” in this determination process. ”Thru“ Walking 3 ”when the conditions are most satisfied, there is a high possibility that the user gets off the train or car that is on board and starts walking or is likely to start walking from a stationary state. This is because the transition condition is set so as to allow the transition.

  In the example of FIG. 15, regarding the transition destination determination results “in the train” and “in the car”, if the transition source determination result is “stationary 1” or “stationary 2”, the transition is permitted. A value “1” (R 903 FA, R 903 GA, R 903 FB, R 903 GB) is shown. This is the case where the immediately preceding determination result is “stationary 1” or “stationary 2”, and in the current determination processing, the detection value from each detection unit is the most in the determination condition “in the train” or “in the car”. When satisfied, boarding a stopped train or car, it is considered that it has detected that the boarding train or car has started to move after it has been determined to be “stationary 1” or “stationary 2” at that time. For this reason, the transition condition is set so as to allow the transition.

  Further, in the content example of FIG. 15, for the transition destination determination result “in the car”, when the transition source determination result is “in the train”, the value “0” (R903AB) indicating that the transition is not permitted. )It is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “in the car” most, if the previous determination result is “in the train”, This is because the transition condition is set so as to maintain the immediately preceding determination result “inside the train” without allowing the transition, since it is considered that the fluctuation of the vehicle is temporarily gentle.

Further, in the content example of FIG. 15, for the transition destination determination result “within the train”, when the transition source determination result is “within the car”, the value “0” (R903BA) indicating that the transition is not permitted. )It is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “in the train” most, if the determination result immediately before is “in the car”, This is because the transition condition is set so as to maintain the immediately preceding determination result “inside the vehicle” without allowing the transition, since it is considered that the vibration of the vehicle is temporarily severe.
Embodiment 4 An information processing apparatus according to Embodiment 4 has the same configuration as the information processing apparatus according to Embodiment 3. However, the environment determination unit 102C according to the fourth embodiment sets the determination condition associated with the environment type that may be a transition destination from the previous determination result based on the information in the transition condition storage unit 102G. This is different from the other embodiments.

  FIG. 17 shows an example of the flow of processing in the environment determination unit 102C according to the fourth embodiment. In the example shown in FIG. J01, the same reference numerals are given to the same parts as the processing flow in the environment determination unit 102C according to the first embodiment shown in FIG. 6, or the illustration is omitted. Note that the environment determination unit 102C according to the fourth embodiment is not limited to the example illustrated in FIG. 17, and the execution procedure of each process may be changed without departing from the spirit of the fourth embodiment.

  The environment determination unit 102C according to the fourth embodiment refers to the previous determination result from the determination result storage unit 102E (S501) before starting the loop process A described in the description of the first embodiment (S102). And S102 thru | or S104 are performed like Embodiment 1, S502 is performed in the process time after performing the loop process B and before performing S105.

  In other words, the environment determination unit 102C refers from the transition condition storage unit 102G to the transition condition corresponding to the environment type to be determined in the current loop process B and the environment type indicated by the previous determination result. The environment type to be determined in the current loop process B is, for example, the jth environment type referenced from the determination condition storage unit 102B in S105. That is, by making the environment type sequence in the determination condition storage unit 102B and the environment type sequence in the transition condition storage unit 102G the same, the jth environment among the transition destination environment types in the transition condition storage unit 102G The type can be referred to as the environment type to be determined in the current loop process B. For example, when the environment type indicated in the previous determination result is in the train (R901A) and the environment type to be determined in the current loop process B is walking 1 (R902C) (for example, loop variable j = 2) In this case, the environment type to be determined in the current loop process B is “walking 1”), and in the example of content shown in FIG. 15, “1” (R903AC) indicating that the transition is allowed is referred to. . On the other hand, for example, when the environment type indicated in the previous determination result is in the train (R901A) and the environment type to be determined in the current loop process B is stationary 1 (R902F) (for example, the loop variable j = 5, the environment type to be determined in the current loop process B is “stationary 1”. In the example of the content shown in FIG. 15, “0” (R903AF) indicating that no transition is allowed is referred to. Is done.

  The environment determination unit 102C determines whether or not the transition to the current determination result is allowed based on the transition condition referred to in S502 (S503). When transition to the current determination result is allowed (YES in S503), the environment determination unit 102C executes S105 and subsequent steps. On the other hand, when the transition to the current determination result is not permitted (NO in S503), the loop process B after S105 is skipped.

  FIG. 18 shows a content example of the determination result formed by the processing up to S110 by the environment determination unit 102C according to the fourth embodiment when the previous determination result is “on the train”. In the example of FIG. J3, according to the determination process controlled based on the content example of the transition condition storage unit 102G illustrated in FIG. 15, the content example of the storage unit 102A illustrated in FIG. 4 and the determination condition storage unit 102B illustrated in FIG. An example of the determination result based on the content example is shown. The same parts as those in FIG. 7 are denoted by the same reference numerals.

  In the example of FIG. 18, the determination results (R5021B2, R5022B2, R5023B2, R5024B2, R5021F2, R5022F2, R5023F2, and “Fastness 1” (R501F) and “Still 2” (R501G) of the environmental types R5024F2, R5021G2, R5022G2, R5023G2, and R5024G2) are marked with “-”. This is the content example shown in FIG. 15, and among the transition conditions corresponding to the environment type “in the train” (R901A) as the transition source, the environment type “in the car” (R902B) as the transition destination and “stationary 1”. Since “0” indicating that the transition is not permitted is set for the transition conditions (R903AB, R903AF, R903AG) corresponding to each of (R902F) and “stationary 2” (R902G), in S503 and subsequent steps S105 This is because the loop processing B is skipped.

In this way, after determining the determination condition associated with the environment type in which the transition is allowed based on the preset transition condition, the determination result is set to the determination condition in which the transition is allowed. It is possible to reduce the calculation cost until obtaining.
(Embodiment 5) [Description of Determination Condition Storage Unit 102B According to Embodiment 5] An information processing apparatus according to Embodiment 5 employs a detection value of the human detection unit 114 as a determination target of the surrounding environment. For example, in the information processing apparatus according to the fifth embodiment, the content of the determination condition storage unit 102B included in the second system unit 102 and the control content of the processing unit 101A included in the first system unit 101 are the information according to the first embodiment. Different from the processing device. Since the configuration of the information processing apparatus according to the fifth embodiment is the same as the configuration described in the first embodiment, the description thereof is omitted.

  An example of the contents of the determination condition storage unit 102B according to the fifth embodiment is shown in FIG. In the example illustrated in FIG. 19, the same reference numerals are given to the same portions as the content example of the determination condition storage unit 102 </ b> B according to the first embodiment illustrated in FIG. 5.

  In the example of FIG. 19, the walking group A including the environment types “walk 1” (R401C) to “walk 3” (R401E) and the environment types “walk 4” (R401L) to “walk 6” (R401N) are included. Two groups, the walking group B, are shown.

  In the walking group A in FIG. 19, “Yes” indicating that the presence of a human body is detected is set as a determination condition for human detection (R4024). On the other hand, in the walking group B of FIG. 19, “None” indicating that the presence of a human body is not detected is set as the determination condition of the human detection (R4024). In the walking group B, the determination condition for vibration detection (R4022) is set to a value lower than that of the walking group A as a whole. For example, in the walking group A environment type “walking 1”, the vibration detection is “less than 60 steps / minute” (R4022C), whereas in the walking group B environment type “walking 4”, the vibration detection is less than 50 steps / minute. (R4022L). Further, for example, vibration detection is “60 steps / minute or more and less than 120 steps / minute” (R4022D) in the environment type “walk 2” of the walking group A, while vibration is detected in the environment type “walk 5” of the walking group B. The detection is “50 steps / min or more and less than 110 steps / min” (R4022M). This is because the state where there is no human detection despite the walking state is highly likely that the information processing apparatus is housed in a bag or the like and is walking. That is, in the state where the information processing apparatus is accommodated in the bag, the shaking due to walking may be difficult to be transmitted to the information processing apparatus, and thus the number of steps is not easily detected. In the example shown in FIG. 19, such a step number detection failure is taken into consideration.

  In the example of FIG. 19, the stationary group A including the environment types “stationary 1” (R401F) and “stationary 2” (R401G), and the environment types “stationary 3” (R401Q) and “stationary 4” (R401R) are set. Two groups, including stationary group B, are shown.

  In the stationary group A in FIG. 19, “present” (R4024F, R4024G) indicating that the presence of a human body is detected is set as a determination condition for human detection (R4024). On the other hand, in the stationary group B of FIG. 19, “none” (R4024Q, R4024R) indicating that the presence of a human body is not detected is set as the determination condition of the human detection (R4024). The same contents are set for the stationary group A and the stationary group B shown in FIG. 19 except for the determination condition of human detection (R4024).

  Next, FIG. 20 shows an example of the contents of control by the processing unit 101A according to the fifth embodiment. In the example illustrated in FIG. 20, the same reference numerals are assigned to the same portions as those in the control content example by the processing unit 101 </ b> A according to the first embodiment illustrated in FIG. 10.

  In the example of FIG. 20, the walking group A including the environment types “walking 1” (R701C) to “walking 3” (R701E) and the environment types “walking 4” (R701L) to “walking 6” (R701N) are included. Two groups, the walking group B, are shown, and the walking group A and the walking group B are set with an operating state (R702) having overlapping contents. For example, the operation state “Ring volume (low)” (R702C) is set for the environment type “walk 1” (R701C) of the walking group A, and the environment type “walk 4” (R701L) of the walking group B is also set. The operation state “ring volume (small)” (R702L) is set.

  In the example of FIG. 20, the stationary group A including the environment types “stationary 1” (R701F) and “stationary 2” (R701G), and the environment types “stationary 3” (R701Q) and “stationary 4” (R701R) are set. Two groups, including stationary group B, are shown. The environment types “stationary 1” and “stationary 3” have different detection conditions for human detection in the example of FIG. 19, and the other determination conditions have the same contents. On the other hand, in the example of FIG. 20, “Manner mode” and “With vibrator output” (R702F1) are shown as the operation state for the environment type “Still 1”, and “Ring volume” is shown as the operation state for the environment type “Still 3”. (Middle) "(R702Q) is shown. For example, the environment type “stationary 1” is quieter than the environment types “stationary 2” and “stationary 4” (in the example of FIG. 19, the sound pressure detection condition for stationary 1 is “less than 70 dB”). Since the sound pressure detection conditions for the stationary 2 and stationary 4 are “70 dB or more”), it is desirable to have an operation state with quietness such as “manner mode”. This is because, in a quiet state, for example, it may be a place that regulates the act of making noises such as sleeping or in a library. On the other hand, the environment type “stationary 3” is quieter than the environment types “stationary 2” and “stationary 4” in the same manner as the environment type “stationary 1” (in the example of FIG. The sound pressure detection condition for stationary 2 and stationary 4 is “70 dB or more” while “less than 70 dB”, but it is desirable to use a notification means such as outputting a ring tone for notifying the user of an incoming call. . This is because, when the presence of a person is not detected in the vicinity, although the person is in a quiet state, the degree of worrying about the influence of the notification means, such as hindering the concentration of surrounding people, becomes low. Further, in the stationary group B, the incoming call volume may be increased as compared with a normal case in order to surely deliver a notification to a user who may be not nearby.

  Although the embodiment of the present invention has been described in detail above, the present invention is not limited to the specific embodiment, and various modifications and changes can be made within the scope of the gist of the present invention described in the claims. Is possible. Note that the scope of the present invention extends to any combination of the first to fifth embodiments.

  In this embodiment, the information processing apparatus having the wireless communication control unit 103 has been described as an example of the information processing apparatus, but the present invention is not limited to this. The information processing apparatus may be, for example, a portable device or a stationary device. Examples of portable devices include portable phones, smartphones, electronic notebooks, electronic dictionaries, PDA (Personal Digital Assistants), calculators, GPS (Global Positioning System), notebook computers, and portable game machines. Or a camera or the like. As the stationary device, for example, a device installed outdoors may be used. Moreover, the apparatus which does not incorporate a battery and operates by receiving power supply from an external power source may be used.

  The present application relates to a technique for determining an ambient environment in which an information processing apparatus is placed in an information processing apparatus.

  There is an attempt to automatically set an appropriate operation state in an information processing apparatus such as a mobile phone device or a personal computer according to the surrounding environment.

  Reference 1 discloses that a microphone provided in a portable mobile phone device detects ambient sounds during non-calling, analyzes a sound signal output from the microphone, and moves, stops, changes in movement of the portable mobile phone device, etc. A technique for determining the usage state of a computer is disclosed.

  Document 2 discloses a portable terminal that includes a vibration detection unit that detects vibration and detects that the train is running from a power spectrum pattern in which the vibration detected by the vibration detection unit is divided into frequency components. .

  Document 3 receives a timing signal indicating the signal transmission time from at least three or more base stations and position information of each base station, detects the current position of the own device, and moves from the change in the current position. A mobile communication terminal for determining speed is disclosed. The mobile communication terminal of Literature 3 detects vibration applied to the mobile communication terminal when it is determined that the moving speed is reduced, and continues the operation restriction when a certain vibration is detected.

  Document 4 discloses a mobile phone terminal that detects the number of location registration requests that are made when a plurality of base stations move to different radio areas, and determines the moving speed based on the detected number of location registration requests. ing. The mobile phone terminal of Literature 4 controls the incoming call mode according to the determined moving speed. Thereby, it can be switched to the manner mode without any human operation.

JP 2003-244314 A JP 2004-328100 A JP 2003-284138 A JP 2000-125339 A

  In the technique described in the prior art document, even if a plurality of sensors are provided, a combination of detection results from a plurality of sensors is not referred to in obtaining a determination result at a certain temporary point. For example, Japanese Patent Laid-Open No. 2003-284138 describes that a sensor to be detected is switched from movement detection to vibration detection when high-speed movement is detected. That is, in the above document, only a detection result from a single sensor is referred to in obtaining a determination result at a certain temporary point. Therefore, even if the information processing apparatus includes a plurality of sensors, they cannot be effectively utilized.

  In addition, the type and specification of the sensor mounted on the information processing apparatus may differ depending on the manufacturing time of the information processing apparatus or the model change of the product. In the prior art documents, no consideration is given to any change in the sensor in the manufacturing process of the information processing apparatus. For this reason, it is necessary to redesign the mounting of the processing circuit for the environment determination that is executed based on the detection value from the sensor every time the sensor mounted on the information processing apparatus is changed, which has a difficulty in manufacturing efficiency.

  Therefore, in the information processing apparatus disclosed in this specification, a method for efficiently and efficiently determining the surrounding environment using a plurality of sensors is examined.

The information processing apparatus disclosed in this specification is operable under the control of various sensors and an operating system, can operate independently of the first system, and the detection values of the various sensors. And determining a surrounding environment of the information processing device based on the second system, wherein the first system defines an operation of the information processing device according to the surrounding environment determined by the second system A storage unit that stores the program to be executed, and a processing unit that executes the program under the control of an operating system, and the second system is associated with an environment type that indicates a type of a surrounding environment of the information processing apparatus A determination condition storage unit for storing a determination condition indicating a condition of detection values detected from various sensors included in the information processing apparatus in the environment, and the information processing apparatus. The detection value from the various sensors included in is compared with the detection value condition stored in the determination condition storage unit, and the environment type corresponding to the condition satisfied by the detection value is specified based on the comparison result. And an environment determination unit for determining the surrounding environment of the information processing apparatus.

  According to the information processing apparatus disclosed in this specification, the environment around the information processing apparatus can be determined accurately and efficiently.

1 is a diagram illustrating a configuration of an information processing apparatus according to a first embodiment. The figure which shows an example of the control content by an electric power control part The figure which shows an example of the control content by a sensor control part The figure which shows the example of the content of the storage part which concerns on Embodiment 1. The figure which shows the example of the content of the judgment condition storage part which concerns on Embodiment 1. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 1. The figure which shows the example of the content of the determination result by the environment determination part which concerns on Embodiment 1. The figure which shows an example of the flow of a process in the process part which concerns on Embodiment 1. The figure which shows the example of the content of the environment log recorded by the process part which concerns on Embodiment 1. FIG. The figure which shows the example of the content of control by the process part which concerns on Embodiment 1. FIG. The figure which shows the structure of the information processing apparatus which concerns on Embodiment 2. FIG. The figure which shows the example of the content of the determination result storage part which concerns on Embodiment 2. The figure which shows an example of the flow of a process of the notification part which concerns on Embodiment 2. The figure which shows the structure of the information processing apparatus which concerns on Embodiment 3. The figure which shows the example of the content of the transition condition storage part which concerns on Embodiment 3. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 3. The figure which shows an example of the flow of a process in the environment determination part which concerns on Embodiment 4. The figure which shows the example of the content of the determination result by the environment determination part which concerns on Embodiment 4. The figure which shows the example of the content of the judgment condition storage part which concerns on Embodiment 5. The figure which shows the example of the content of control by the process part which concerns on Embodiment 5. FIG.

(Embodiment 1) [Configuration of Information Processing Apparatus According to Embodiment 1] FIG. 1 shows the configuration of an information processing apparatus according to Embodiment 1. 1 includes a first system unit 101, a second system unit 102, a wireless communication control unit 103, an antenna 104, a voice control unit 105, a vibrator control unit 106, a key input function unit 107, and a timer unit 108. A display unit 110, a speaker 105A, a microphone 105B, a battery 109, a power control unit 115, and the like. The information processing apparatus includes a high-speed movement detection unit 111, a vibration detection unit 112, a sound pressure detection unit 113, a human detection unit 114, and the like as various sensors.

  1 includes a wireless communication control unit 103, a display unit 110, an audio control unit 105, a vibrator control unit 106, a key input function unit 107, and the like, and various wirings such as bus wiring. It is connected to be communicable, and has functions such as controlling the operation of each component and receiving the operation result of each component and executing a predetermined process. The first system unit 101 shown in FIG. 1 has an arithmetic processing function that operates under the control of the operating system, and includes a processing unit 101A, a storage unit 101B, and a state control unit 101C as functional configurations.

  The processing unit 101A of the first system unit 101 has a function of executing a program stored in the storage unit 101B under the control of the operating system.

  The storage unit 101B of the first system unit 101 stores a program that defines an operation according to the surrounding environment determined by the second system unit 102.

  The state control unit 101C of the first system unit 101 has a function of controlling the operation state of the first system unit 101. For example, the state control unit 101 </ b> C restores other functions of the first system unit 101 from the dormant state by receiving a signal related to the input operation from the key input function unit 107. In addition, for example, the state control unit 101 </ b> C restores other functions of the first system unit 101 from the hibernation state by receiving notification of the surrounding environment from the second system unit 102 or interruption notification from the timer unit 108.

  The second system unit 102 illustrated in FIG. 1 can operate independently of the first system and has a function of determining the surrounding environment of the information processing device based on detection values of various sensors included in the information processing device. . In addition, the second system unit 102 receives the power supply from the information processing apparatus and operates the function of determining the surrounding environment at predetermined time intervals even when the operation of the first system is in a dormant state. The second system unit 102 according to the first embodiment includes a storage unit 102A, a determination condition storage unit 102B, an environment determination unit 102C, and a sensor control unit 102D as functional configurations.

  The storage unit 102A of the second system unit 102 has a function of storing detection values from various sensors included in the information processing apparatus in association with the types of the sensors.

  The determination condition storage unit 102B of the second system unit 102 correlates with the environment type indicating the type of the surrounding environment of the information processing device, and sets the detection value conditions detected from various sensors included in the information processing device in the environment. It has a function of storing the determination condition shown.

  The environment determination unit 102C of the second system unit 102 has a function of determining the surrounding environment of the information processing apparatus. The environment determination unit 102C compares the detection value stored in the storage unit 102A with the detection value condition stored in the determination condition storage unit 102B, and responds to a condition that the detection value satisfies based on the comparison result. The surrounding environment of the information processing apparatus is determined by specifying the environment type to be performed.

  The sensor control unit 102D of the second system unit 102 has a function of controlling operations of various detection units included in the information processing apparatus and storing detection values acquired from the various detection units in the storage unit 102A.

  The wireless communication control unit 103 illustrated in FIG. 1 has a function of supplying reception data obtained by executing decoding processing or the like on a radio wave signal received by the antenna 104 to the first system unit 101, or from the first system unit 101. The antenna 104 has a function of outputting a radio wave signal obtained by executing modulation processing or the like on the supplied transmission data. For example, the wireless communication control unit 103 has a wireless communication function compliant with various communication standards such as W-CDMA and CDMA2000.

  The voice control unit 105 shown in FIG. 1 has a function of converting voice data (for example, digital data in a PCM (pulse code modulation) format) supplied from the first system unit 101 into an analog signal and outputting the analog signal, and a microphone. It has a function of supplying audio data (for example, digital data in a PCM format or the like) obtained by sampling an analog signal input from 105B to the second system unit 102. Furthermore, the voice control unit 105 also has a function of supplying voice data acquired from the microphone 105B to the sound pressure detection unit 113.

  The vibrator control unit 106 shown in FIG. 1 has a function of receiving a control signal from the first system unit 101 and driving a vibrator that generates vibration.

  A key input function unit 107 illustrated in FIG. 1 has a function of receiving input from a user of the information processing apparatus. For example, as the key input function unit 107, an input button can be arranged on the information processing apparatus, or a touch panel can be arranged on the display unit 110.

  The timer unit 108 shown in FIG. 1 has a function of constantly receiving power supply from a battery 109 included in the information processing apparatus or an external power source (not shown) to measure the current time and notify each component of the current time, or a predetermined process. Has a function of starting each component in a cycle set to execute the.

  A battery 109 illustrated in FIG. 1 functions as a supply source of power supplied to each component of the information processing apparatus. For example, a secondary battery such as a lithium ion battery.

  The display unit 110 illustrated in FIG. 1 has a function of displaying display data supplied from the first system unit 101. For example, a liquid crystal display unit or an organic EL display unit.

  The high-speed movement detection unit 111 illustrated in FIG. 1 has a function of detecting that the movement of the information processing apparatus illustrated in FIG. 1 is moving at a speed higher than a preset speed. For example, the high-speed movement detection unit 111 calculates a movement speed based on a change amount per unit time of position information detected by the GPS receiver, and detects that the calculated movement speed is equal to or greater than a predetermined threshold. By doing so, it is possible to detect high-speed movement. For example, as described in Japanese Patent Application Laid-Open No. 2003-284138, high-speed movement may be detected based on the amount of change per unit time in the position information received from the base station. Further, for example, as described in Japanese Patent Laid-Open No. 2000-125339, the number of position registration requests that are performed when a plurality of base stations move to different radio areas is detected, and the number of detected position registration requests High speed movement may be detected based on the above.

  A vibration detection unit 112 illustrated in FIG. 1 has a function of detecting vibration of the information processing apparatus illustrated in FIG. For example, an acceleration sensor can be used.

  The sound pressure detection unit 113 illustrated in FIG. 1 has a function of detecting the intensity of noise in the surrounding environment of the information processing apparatus collected from the microphone 105B. For example, the sound pressure detection unit 113 outputs the sound pressure level of noise acquired based on sound data (for example, digital data in PCM format) supplied from the sound control unit 105.

  The human detection unit 114 shown in FIG. 1 acquires proximity information of a heat source such as a human body from an infrared sensor, and determines whether there is human presence or no human presence or the degree of proximity according to the proximity degree indicated in the proximity information. Has a function to output.

  The power control unit 115 illustrated in FIG. 1 has a function of controlling a power supply system to each component of the information processing apparatus. For example, the power control unit 115 switches the power system according to the operation state of the information processing apparatus. As a result, it is possible to select a configuration that operates by receiving power supply.

FIG. 2 shows an example of the contents of control by the power control unit 115. The content example illustrated in FIG. 2 includes a power system (R101) and a supply destination (R102) of the power system. In the example of FIG. 2, the timer unit 108, the power control unit 115, and the state control unit 101C are shown as the supply destination (R102A) of the system 1 (R101A). This indicates that each configuration of the timer unit 108, the power control unit 115, and the state control unit 101C is supplied with power by the system 1. The same applies to other power systems. That is, the second system unit 102 is based on the system 2 (R101B), the first system unit 101 is based on the system 3 (R101C), the wireless communication control unit 103 is based on the system 4 (R101D), and the voice control unit 105 is based on the system 5 (R101E). ), The display unit 110 is based on the system 6 (R101F), the high-speed movement detection unit 111 is based on the system 7 (R101G), the vibration detection unit 112 is based on the system 8 (R101H), and the sound pressure detection unit 113 is based on the system 9 (R101I). Thus, the human detection unit 114 receives power supply from the system 10 (R101J). Note that the information processing apparatus according to the first embodiment is not limited to the above power system. For example, system 1 (R101A) shown in FIG. 2 may be divided into a plurality of systems for each supply destination, or a plurality of power systems (for example, system 1 (R101A) and system 2 (R101B)) are combined into one system. You may integrate. Further, for example, from the viewpoint of power saving, it may be effective to use different systems for the power system that supplies power to the first system unit 101 and the power system that supplies power to the second system unit 102. The reason is that the first system unit 101 and the second system unit 102 do not necessarily have to operate simultaneously. The above is the outline of the configuration of the information processing apparatus according to the first embodiment.
[Description of Sensor Control Unit 102D] Next, the operation of the sensor control unit 102D included in the second system unit 102 will be described. The sensor control unit 102D has a function of acquiring detection values from various detection units at a predetermined cycle and processing the data format of the detection values as necessary. And it has further the function to store the detection value acquired from various detection parts, or the detection value after processing in association with the sensor type in the storage part 102A.

  Each detection unit may store the detection value in a unique storage area, or may store the detection value in a predetermined storage area of the second system unit 102. For example, when the second system unit 102 and the detection unit are configured in a single LSI chip, the latter method may be advantageous. For example, in the case where the second system unit 102 and the detection unit are configured by different LSI chips, the former method may be advantageous from the viewpoint of data writing speed. The sensor control unit 102D only needs to appropriately change the reference destination of the detection value according to the method adopted as described above. Alternatively, the sensor control unit 102D tries the reference of the detected value from a plurality of reference destinations of the storage area in the second system unit and a preset external storage area (for example, the storage area of the detection unit), and succeeds in the reference. An implementation that adopts the one reference value as a processing target may be adopted. In this case, even if the storage method employed is different for each sensor, it is not necessary to change the mounting of the sensor control unit.

  FIG. 3 shows an example of the contents of the period set for each sensor type as an example of the contents of control by the sensor control unit 102D. In the example shown in FIG. 3, a content example having a sensor type (R201), a period (R202) set in association with the sensor type (R201), and an execution target (R203) is shown. In the example shown in FIG. 3, “3 minutes” is set as the cycle (R202A) for the sensor type (R201A) “high-speed movement detection”, and “processing A” is set as the execution target (R203A). This is because the sensor control unit 102D executes the processing module identified in the processing A (R203A) at a 3-minute interval (R202A), thereby acquiring detection values detected by the high-speed movement detection unit 111 at an interval of 3 minutes. It shows that The same applies to other sensor types. That is, “40 ms” as the cycle (R202B) for the sensor type (R201B) “vibration detection”, “Processing B” as the execution target (R203B), and the cycle (R202C) for the sensor type (R201C) “sound pressure detection”. “Processing C” is set as “3 minutes” and the execution target (R203C), “10 seconds” is set as the period (R202D) for the sensor type (R201D) “human detection”, and “Processing D” is set as the execution target (R203D). Has been. In the example of FIG. 3, for the sensor type (R201E) “vibration detection”, the cycle (R202E) “1 minute” and the execution target (R203E) “processing E” are set. This indicates that the process E (R203E) is executed at a one minute interval (R202E) separately from the process B (R203B) executed at a 40 msec interval (R202B) as a process for vibration detection. Thus, by setting a plurality of cycles (R202) and execution targets (R203) for one sensor type (R201), numerical processing in different time units is performed based on the detection value of one sensor type. It becomes possible to execute.

Next, processing of the data format for the detection values acquired from the various detection units will be described. For example, the sensor control unit 102D can store the value obtained by converting the detection value acquired from the vibration detection unit 112 into the number of steps in the accumulation unit 102A. Specifically, as shown in FIG. 3, for example, in the process A executed every 40 milliseconds, the detection values (for example, acceleration information) acquired from the vibration detection unit 112 are integrated, and from the integrated value for a predetermined unit time. Vibration energy is calculated, and when the calculated value is higher than a predetermined threshold, the number of steps is counted by one. Then, for example, each time one minute (R202E) elapses, the sensor control unit 102D executes the processing module identified by the processing E (R203E) to store the number of steps counted in the one minute in the accumulation unit 102A. The count of the number of steps is repeated after clearing the count value of the number of steps to zero. As described above, by processing in advance the detection value acquired from the detection unit in the sensor control unit 102D, the determination process in the environment determination unit 102C can be efficiently executed. For the detection values acquired from other detection units, processing for efficiently executing the determination process in the environment determination unit 102C may be performed as necessary. Further, when a change occurs in various detection units such as adding a new sensor, it is only necessary to register the processing module corresponding to the sensor type related to the change and its execution cycle in the control content of the sensor control unit.
[Content Example of Storage Unit 102A] FIG. 4 illustrates a content example of the storage unit 102A according to the first embodiment. In the example of FIG. 4, sound pressure detection [dB] (R3011), vibration detection [steps / minute] (R3012), and high-speed movement detection [m / minute] as sensor types (R301) associated with detection values from various sensors. (R3013), human detection (R3014) is shown. In the example of FIG. 4, the detection value “70 dB” associated with the sensor type “sound pressure detection” (R3011) and the detection value “20 steps / minute” associated with the sensor type “vibration detection” (R3012). (R3022), a detection value “500 m / min” (R3023) associated with the sensor type “high-speed movement detection” (R3013), and a detection value “corresponding to the sensor type“ human detection ”(R3014). “None” (R3024) is shown. The detection value “none” (R3024) associated with the sensor type “human detection” (R3014) indicates an example in which no human is detected in human detection.

  Various implementations can be considered for associating sensor types with detected values. For example, a correspondence relationship may be maintained by storing a code value indicating a sensor type and a detection value associated with the sensor type in a memory, or storing the sensor type and a predetermined address on the memory. And the correspondence relationship may be maintained by storing the detection value at the associated address.

Although not shown in the content example of FIG. 4, a storage area for holding the time when the sensor control unit 102D stores each detection value, the time when the detection value is output by each detection unit, and the like, The sensor type (R301) and / or the detection value (R302) may be associated with each other. Thereby, even when the time interval at which each detection unit outputs a detection value and the time interval at which the second system unit 102 executes the environment determination process based on the detection value from each detection unit are different, the second system unit 102 Each time relating to the detected value can be referred to in the environment determination process.
[Content Example of Determination Condition Storage Unit 102B] FIG. 5 shows an example of content of the determination condition storage unit 102B according to the first embodiment. In the example of FIG. 5, the environment type R401 associated with the determination condition is as follows: train (R401A), car (R401B), walk 1 (R401C), walk 2 (R401D), walk 3 (R401E), stationary 1 (R401F). , Stationary 2 (R401G) is shown. The inside of the train (R401A) is an environment type indicating that an information processing apparatus exists in a vehicle that operates a conventional railway line used for commuting, for example. The inside of the automobile (R401B) is an environment type indicating that the information processing apparatus exists in the car of the private car, for example. Walk 1 (R401C) to Walk 3 (R401E) are environment types indicating that a user carrying the information processing apparatus is walking or running, for example. Stationary 1 (R401F) or Stationary 2 (R401G) is an environment type indicating that the information processing apparatus is in a stationary state such as being placed on a desk. The environment types shown in FIG. 5 are examples, and the first embodiment is not limited to these content examples.

  In the example of FIG. 5, sound pressure detection [dB] (R4021), vibration detection [steps / minute] (R4022), high-speed movement detection [m / minute] (R4023), human beings are determined as the determination condition R402 associated with the environment type R401. Judgment conditions for various sensor detection values of the feeling detection (R4024) are shown. For example, as a determination condition associated with the environment type “inside the train” (R401A), sound pressure detection “60 dB or more” (R4021A), vibration detection “more than 10 steps / minute and less than 40 steps / minute” (R4022A), high speed The movement detection “500 m / min or more” (R4023A) is shown. The human detection “-” (R4024A) indicates that the determination condition for the human detection sensor is not set.

  In the example of FIG. 5, the condition value for vibration detection (R4022) differs between the determination condition for the environment type “inside the train” (R401A) and the determination condition for the environment type “inside the car” (R401B). The reason is that the difference in the environment between the inside of the train and the inside of a private car such as when commuting appears in the difference in the number of steps measured. For example, in a train such as when commuting, it is possible to detect walking in the vehicle, misdetect the vehicle's shaking as the number of steps, or to move the foot in order to maintain posture against the vehicle's shaking. It is easy to detect as the number of steps. On the other hand, since each passenger sits in a seat in a private car, the number of steps detected while riding tends to be smaller than in a train. In the example of FIG. 5, such a difference in characteristics between a train and a car is used. The first embodiment is not limited to the content example of FIG. That is, it is only necessary to set different values for the condition value for vibration detection (R4022) for the determination condition for the environment type “inside the train” (R401A) and the determination condition for the environment type “inside the car” (R401B). The condition value (R4022A) for vibration detection of the type “inside the train” (R401A) may be smaller than the condition value (R4022B) for the vibration detection of the determination condition of the environment type “inside the car” (R401B). This is because there may be a case in which there is a tendency that more steps than the number of steps assumed in the train are detected depending on the road surface condition on which the vehicle is traveling, the vehicle type of the vehicle, and the like.

In the example of FIG. 5, the determination conditions for the environment types “walk 1” (R401C) to “walk 3” (R401E) and the determination conditions for other environment types (for example, in a train (R401A) or in a car (R401B)). Is different from the condition value of sound pressure detection (R4022). The reason is that the difference in the environment between the state where the user carrying the information processing apparatus is walking and other states is likely to appear in the measured sound pressure. For example, when a user carrying an information processing device is walking, there are few noise sources that regularly emit noise, and the information processing device is accommodated in a bag or a pocket of clothes. In many cases, the measured sound pressure tends to be small. On the other hand, in other environments, for example, in trains and automobiles, there are always noise sources that constantly emit noise, such as noise generated by motors and noise generated by vehicles traveling on tracks. The sound pressure measured compared to the state tends to increase. In the example of FIG. 5, the difference in characteristics between such a walking state and other states is used. The first embodiment is not limited to the content example of FIG. That is, the determination conditions for the environment types “walk 1” (R401C) to “walk 3” (R401E) and the determination conditions for other environment types may be set to different values for the sound pressure detection (R4021) condition value. I can do it.
[Example of Process Flow in Environment Determination Unit 102C According to First Embodiment] FIG. 6 illustrates an example of a process flow in the environment determination unit 102C according to the first embodiment. The processing example illustrated in FIG. 6 is repeatedly executed at an arbitrary timing as long as power is supplied from the battery of the information processing apparatus 100 and / or the external power supply. In the example illustrated in FIG. 6, a system is assumed in which the number of environment types is M and the number of sensor types is N.

  First, as an initial setting, the environment determination unit 102C sets (clears to 0) a 0 value to the determination count value counted for each environment type (S101). For example, in a system having M environment types, an array having M elements can be used as a storage area for storing a determination count value that is counted for each environment type.

  Next, the environment determination unit 102C executes loop processing A from S102 to S109. “I = 0” shown in S102 of FIG. 6 indicates that the initial value of the loop variable i of the loop process A is 0. Further, “i ++” shown in S109 of FIG. 6 indicates that 1 is added to the loop variable i every time the loop process A completes. “I = N” indicates that the process ends when the value of the loop variable i reaches N (the number of sensor types) as an end condition of the loop process A. In the example of the process flow shown in FIG. 6, the determination of the loop process end condition is executed after the loop variables are counted. Therefore, for example, the process shown in S103 of FIG. 6 is executed for each value from the loop variable i = 0 to the loop variable i = N−1.

  In the loop process A, the environment determination unit 102C refers to the i-th detection value from the storage unit 102A (S103). For example, in a system with N sensor types, the storage unit 102A can use an array having N elements as a storage area that stores detection values for each sensor type. In the content example shown in FIG. 4, the number N of sensor types is 4, i = 0th detection value is a detection value “70 dB” for the sound pressure detection value, and i = 1st detection value is for vibration detection. The detected value is “20 steps / minute”.

  Next, in the loop process A, the environment determination unit 102C executes the loop process B from S104 to S108. The notation content shown by S104 and S108 in FIG. 6 is the same as S103 and S109.

  In the loop processing B, the environment determination unit 102C refers to the determination condition corresponding to the sensor type of the detection value (hereinafter referred to as a reference value) referred to in S103 for the jth environment type from the determination condition storage unit 102B. (S105). For example, in a system in which the number of environment types is M and the number of sensor types is N, the determination condition storage unit 102B uses a two-dimensional array having M × N elements as a determination condition for each sensor type. Can be used as a storage area that accommodates in association with the environment type. In the content example shown in FIG. 5, the number M of environment types is 7, and the number N of sensor types is 4. In FIG. 5, the j = 0th environment type is “in a train”. The i = 0th determination condition for the environmental type “inside the train” is the determination condition “60 dB or more” for sound pressure detection (R4021A), and the i = 1st determination condition is the determination condition “10 steps / Min. And less than 40 steps / min. "(R4022A).

  Next, in the loop process B, the environment determination unit 102C determines whether or not the reference value satisfies the determination condition referred to in S105 (S106). When the reference value satisfies the determination condition, the environment determination unit 102C adds 1 to the determination count for the jth environment type (S107). Then, after updating the loop variable j of the loop process B, the end condition (j = M) of the loop process B is determined. The environment determination unit 102C executes the loop process B as the process in the loop process A until the end condition of the loop process B is satisfied. As described above, by executing the loop process B, the i-th detection value is collated with a total of M determination conditions associated with the environment types from j = 0 to j = M−1. Is called.

  When the end condition of the loop process B is satisfied in S108, the environment determination unit 102C ends the loop process B, updates the loop variable i, and then determines the end condition (i = N) of the loop process A. Then, the environment determination unit 102C executes the loop process A until the end condition of the loop process A is satisfied. As described above, by executing the loop process A, the detection values from i = 0 to i = N−1 are collated with the determination condition by the loop process B.

  Next, the environment determination unit 102C specifies the environment type corresponding to the determination count value having the largest value after the loop processing A is completed (S110). FIG. 7 shows a content example of the determination result formed by the processing up to S110. In the example of FIG. 7, an example of a determination result based on the content example of the storage unit 102A illustrated in FIG. 4 and the content example of the determination condition storage unit 102B illustrated in FIG. In the example of FIG. 7, “1” is written as the determination result (R5021A, R5022A, R5023A) of the “sound pressure detection”, “vibration detection”, and “high-speed movement detection” of the environment type “inside the train” (R501A). Yes. This indicates that the detection value referenced from the storage unit 102A satisfies the determination condition. On the other hand, “0” is written as the determination result (R5022B) of “vibration detection” of the environment type “inside the car” (R501B). This indicates that the detection value referenced from the storage unit 102A does not satisfy the determination condition. In FIG. 7, “−” is written as the determination result of “human detection” (R5024A, R5024B, R5024C, R5024D, R5024E, R5024F, R5024G). This indicates that the determination process is not performed because the determination condition is not set in the determination condition storage unit 102B. The determination count value (R503) in FIG. 7 indicates the number of determination conditions determined that the detected value satisfies the condition for each environment type. For example, in the environment type “in the train”, the determination results (R5021A, R5022A, R5023A) of “sound pressure detection”, “vibration detection”, and “high-speed movement detection” are “1”, and the determination count value that is the sum of the determination results (R503A) is “3”. In addition, in the environment type “in-car”, the determination results (R5021B, R5023B) of “sound pressure detection” and “high-speed movement detection” are “1”, and the total determination count value (R503B) is “2”. It becomes. In the example illustrated in FIG. 7, the determination count value having the largest value is “3” (R503A), and the environment type corresponding to the determination count value (R503A) is “inside the train” (R501A).

  Next, the environment determination unit 102C outputs information related to the surrounding environment based on the environment type specified in S110 (S111). For example, the environment determination unit 102C may store the environment type specified in S110 in the storage area in the second system unit 102 as the output process in S111. In this case, the first system unit 101 refers to the environment type stored in the storage area in the second system unit 102 at an arbitrary timing, so that the determination result by the environment determination unit 102C of the second system unit 102 is obtained. Can be known. As another example of the output processing of S111, the environment determination unit 102C transmits information about the surrounding environment to the first system unit 101 through circuit wiring, and stores the information about the surrounding environment in a storage area in the first system unit 101. May be. In this case, the first system unit 101 refers to the information related to the surrounding environment stored in the storage area in the first system unit 101 at an arbitrary timing, so that the environment determination unit 102C of the second system unit 102 The determination result can be known.

The above is an example of the flow of processing in the environment determination unit 102C according to the first embodiment. The environment determination unit 102C according to the first embodiment is not limited to the example illustrated in FIG. 6, and the execution procedure of each process may be changed without departing from the spirit of the first embodiment.
[Description of Processing in the Processing Unit 101A of the First System Unit 101] FIG. 8 illustrates an example of a processing flow in the processing unit 101A included in the first system unit 101 according to the first embodiment. The processing unit 101A according to the first embodiment is not limited to the example illustrated in FIG. 8, and the execution procedure of each process may be changed without departing from the spirit of the first embodiment.

  First, the processing unit 101A refers to information on the surrounding environment generated by the second system unit 102 from a predetermined storage area at an arbitrary timing (S201). The arbitrary timing in S201 may be triggered by, for example, receiving notification of information related to the surrounding environment from the second system unit 102, or the arrival of a predetermined cycle regardless of the operation of the second system unit 102. It may be an opportunity. Further, the predetermined storage area in S201 is a storage area that stores information related to the surrounding environment in the output processing in S111.

  Next, the processing unit 101A records information related to the surrounding environment in an environment log provided in a storage area of the information processing apparatus (S202). The environment log in S202 may be provided in a storage area mounted in the first system unit 101, or provided in a storage area in a portable storage medium (for example, a micro SD card) inserted in the information processing apparatus. Also good.

  FIG. 9 shows an example of the contents of the environment log stored by the processing unit 101A according to the first embodiment. In the example of FIG. 9, the start period (R601) and the end period (R602) and the environment type (R603) associated with them are shown. In the example of FIG. 9, the environment type “stationary 1” (R603A) is associated with the start period “2010/07 / 20,00: 00” (R601A) and the end period “2010/07 / 20,07: 49” (R602A). Is recorded. This is because the environment type indicated in the information about the surrounding environment is “stationary 1” in the time range “2010/07 / 20,00: 00” to “2010/07 / 20,07: 49”, and the information processing apparatus Indicates that it was stationary. The same applies to other logs. For example, from the start "2010/07 / 20,07: 50" (R601B) to the end "2010/07 / 20,08: 00" (R602B), the environment type (R603B) is "walking 1" It shows that the user of the processing device was in a walking state, in particular, a walking state corresponding to the determination condition of “walking 1”. In the example of the determination condition shown in FIG. 5, walking 1 is set as a walking state with fewer steps per unit time (1 minute in the example of FIG. 5) than the walking state corresponding to walking 2 and walking 3. Yes. That is, it is estimated that the walking state corresponding to walking 1 is a state of walking more slowly than the walking state of walking 2 and walking 3. In addition, from the start period “2010/07 / 20,08: 01” (R601C) to the end period “2010/07 / 20,08: 15” (R602C), the environment type (R603C) is “in the train”, and the start period “ From 2010/07 / 20,08: 16 ”(R601D) to the end“ 2010/07 / 20,08: 20 ”(R602D), the environmental type (R603D) is“ walking 3 ”, and the beginning“ 2010/07/20 ” An example of content in which the environmental type (R603E) is “stationary 2” is shown in the period from “20,08: 21” (R601E) to the final period “2010/07 / 20,17: 30” (R602E). In this way, by collecting the recording logs as shown in FIG. 9, it is possible to confirm the manner in which the surrounding environment is changing as time elapses.

  In order to generate the recording log of the content example illustrated in FIG. 9, the processing unit 101A may collect and record information related to the surrounding environment referred to in S201 in S202. For example, the processing from S201 to S203 is repeatedly executed at an arbitrary timing. Then, the environment log recorded based on the information about the surrounding environment referred to at the time of the previous execution of S201 is compared with the information about the surrounding environment referred to at the time of the execution of the current S201, and the environment type that is the same as the previous time and the current time is compared. As long as the content is shown, the previous time and current time may be integrated into one record and recorded in the environment log. For example, the information related to the surrounding environment referred to at time “2010/07 / 20,00: 00” indicates the environment type “stationary 1” and is compared with the environment log (not shown) recorded by the previous reference. As a result, it is assumed that the current and previous environmental types are different. In this case, the current time “2010/07 / 20,00: 00” is stored in the initial period (R601), and the environment type “stationary 1” indicated in the information related to the current surrounding environment is stored in the environment type (R603). . After that, when the information related to the surrounding environment referred to in S201 that is repeatedly executed at an arbitrary timing indicates the environment type “stationary 1”, the previous time recorded after time “2010/07 / 20,00: 00” The current time is stored at the end of the recording log (R602). Here, the time stored in the start period (R601) and the end period (R602) may be the execution time of the process in the processing unit 101A (for example, the time when S201 is executed), or the execution time of the environment determination process in the second system unit 102 Or other time, such as the acquisition time of the detection value in each detection part, may be sufficient. For example, when generating information related to the surrounding environment in the second system unit 102, other times such as the execution time of the environment determination process in the second system unit 102 and the acquisition time of the detection value in each detection unit are set as the surrounding environment. It may be included in the information regarding.

  Next, the processing unit 101A changes the operation state of the information processing apparatus to a state according to the surrounding environment (S203). FIG. 10 is a diagram illustrating a content example of control by the processing unit 101A according to the first embodiment. In the content example of FIG. 10, the environment type (R701) and the operation state (R702) associated therewith are shown. For example, the operation state (R702A) “Manner mode” is shown in association with the environment type (R701A) “inside the train”. This indicates that, when the information regarding the surrounding environment referred to in S201 indicates the environment type “inside the train”, the processing unit 101A changes the operation state of the information processing apparatus to “Manner mode” in S203. The same applies to other environment types. Note that the manner mode is, for example, using vibration of a vibrator instead of a ringing tone to report that an incoming call request transferred from a base station via a wireless communication line has been received, or blocking a wireless communication function. This means a mode that maintains an operating state that does not emit radio waves. The drive mode means a mode in which, for example, an automatic response is made to the incoming call request, or an operation state is maintained that does not report that the incoming call request has been received.

As described above, information about the surrounding environment determined based on the detection values of the various sensors in the second system unit 102 that can operate independently of the first system unit 101 is displayed at an arbitrary timing in the first system unit 101. You can refer to it. For example, even if the first system unit 101 is in a low power consumption hibernation state, the second system unit 102 can generate information related to the surrounding environment. Further, since the second system unit 102 does not require complicated calculations, it can be implemented with a smaller circuit scale and less power consumption than the first system unit 101. For example, the second system unit can be implemented to operate with a lower clock number than the operation clock used in the first system unit. For example, the operation clock of the first system unit can be set to 600 MHz, and the operation clock of the second system unit can be set to 48 MHz. For this reason, even when a plurality of detection units are operated in combination as shown in the first embodiment, the second system unit 102 that can operate even when the first system unit 101 is in a dormant state controls the operation of each detection unit and the surroundings. Since information about the environment is generated, it is possible to reduce power consumption required for determining the surrounding environment.
(Embodiment 2) [Description of Configuration of Information Processing Device According to Embodiment 2] FIG. 11 shows a configuration of an information processing device according to Embodiment 2. The configuration shown in FIG. 11 is different from the configuration shown in FIG. 1 in that the second system unit 102 in FIG. 11 includes a determination result storage unit 102E and a notification unit 102F. Since other configurations are the same as those of the first embodiment, description thereof is omitted.

  The determination result storage unit 102E illustrated in FIG. 11 has a function of storing the determination result determined by the environment determination unit 102C.

  FIG. 12 shows an example of the contents of the determination result storage unit 102E according to the second embodiment. In the content example shown in FIG. 12, the date and time (R801) and the environment type (R802) associated therewith are shown. In the example of FIG. 12, “2010/07 / 20,07: 49” is stored as the date and time (R801A), and “stationary 1” is stored as the environment type (R802A). This indicates, for example, that the determination result of the environment determination process executed on the date “2010/07/20, 07:49” is the environment type “stationary 1”. Note that the time (R801) in FIG. 12 may be the time when the detection value is acquired from the detection unit, the time when the detection value is output by the detection unit, or the like in addition to the execution time of the environment determination process.

  The notification unit 102F illustrated in FIG. 11 refers to information on the surrounding environment indicating the determination result determined by the environment determination unit 102C in the previous determination operation from the determination result storage unit 102E, and refers to the previous determination result and the current determination result. It has a function of comparing the determination result and notifying the first system of the determination result when there is a change in the determination result.

  FIG. 13 shows an example of the processing flow of the notification unit 102F according to the second embodiment. Note that the notification unit 102F according to the second embodiment is not limited to the example illustrated in FIG. 13, and the execution procedure of each process may be changed without departing from the spirit of the second embodiment.

  First, the notification unit 102F receives the determination result from the environment determination unit 102C and refers to the previous determination result from the determination result storage unit 102E (S301). In the content example of FIG. 12, the environment type “stationary 1” is referred to.

  The notification unit 102F compares the current determination result with the previous determination result, and determines whether or not the environmental types are different (S302). If the environment type is different between the current determination result and the previous determination result (YES in S302), the notification unit 102F notifies the first system unit 101 that the determination result has changed (S303). Thereby, when the first system unit 101 is in the dormant state, the first system unit 101 is recovered from the dormant state by the action of the state control unit 101C of the first system unit 101. Then, the restored first system unit 101 can execute processing based on information related to the surrounding environment by the processing unit 101A described in the first embodiment. Then, the notification unit 102F stores the current determination result in the determination result storage unit 102E (S304). On the other hand, if the current determination result and the previous determination result have the same environment type (NO in S302), the notification unit 102F skips S303 and executes S303.

As described above, the first system unit 101 is notified only when the determination results are different, and when the determination result is the same, the notification to the first system unit 101 can be omitted. The time to do can be made longer compared to the configuration without the notification unit 102F according to the second embodiment. For example, from the viewpoint of reducing the power consumption of the entire information processing apparatus, it is desirable to increase the duration of the hibernation state of the first system unit 101 with a large amount of power consumption. The notification unit 102F according to the second embodiment can help to realize such a power saving measure.
Embodiment 3 FIG. 14 shows a configuration of an information processing apparatus according to Embodiment 3. The configuration shown in FIG. 14 is different from the configuration shown in FIG. 1 in that the second system unit 102 in FIG. 14 includes a determination result storage unit 102E and a transition condition storage unit 102G. Further, due to the difference in the configuration, the processing flow of the environment determination unit 102C according to the third embodiment is different from that of the environment determination unit 102C according to the first embodiment.

  The determination result storage unit 102E illustrated in FIG. 14 has a function of storing the determination result determined by the environment determination unit 102C. For example, it is the same as the determination result storage unit 102E described in the second embodiment. That is, the content example illustrated in FIG. 12 is appropriate as the content example of the determination result storage unit 102E according to the third embodiment.

  The transition condition storage unit 102G illustrated in FIG. 14 has a function of storing a transition condition indicating whether a transition from one determination result to another determination result is allowed. For example, the transition condition storage unit 102G sets a value indicating whether or not to allow a transition in association with a determination result (one determination result) serving as a transition source and a determination result (other determination result) serving as a transition destination. The transition condition which has is stored. An example of the contents of the transition condition storage unit 102G is shown in FIG. In the example of FIG. 15, the determination items that are the transition sources are arranged in the horizontal items (R901A to R901G), and the determination results that are the transition destinations are arranged in the vertical items (R902A to R902G). For items (R903AA to R903GG) in which the vertical item and the horizontal item intersect, transition from the determination result that is the transition source indicated by the horizontal item to the determination result that is the transition destination indicated by the vertical item is allowed. Transition conditions indicating whether or not are shown. In the example of FIG. 15, “1” is shown when transition is allowed, and “0” is shown when transition is not allowed.

  The environment determination unit 102C illustrated in FIG. 14 refers to information about the surrounding environment indicating the previous determination result from the determination result storage unit 102E, and is the transition from the previous determination result referred to the current determination result permitted? Has a function of determining the state based on the transition condition. When the transition is not permitted, the environment determination unit 102C invalidates the current determination result and adopts the previous determination result. For example, when the current determination result is invalid, the environment determination unit 102C may discard the information indicating the determination result without storing it in the determination result storage unit 102E, or temporarily refer to it for later processing. You may store in a storage area.

  FIG. 16 shows an example of the flow of processing in the environment determination unit 102C according to the third embodiment. In the example illustrated in FIG. 16, the same reference numerals are given to the same portions as the processing flow in the environment determination unit 102 </ b> C according to the first embodiment illustrated in FIG. 6, or the illustration is omitted. Note that the environment determination unit 102C according to the third embodiment is not limited to the example illustrated in FIG. 16, and the execution procedure of each process may be changed without departing from the spirit of the third embodiment.

  First, the environment determination unit 102C executes processing up to S110, and refers to the previous determination result from the determination result storage unit 102E (S401). The transition condition storage unit 102G refers to the transition condition associated with the current determination result acquired by the processing up to S110 and the previous determination result acquired at S401 (S402). For example, when the environment type indicated by the previous determination result is in the train (R901A) and the determination result indicated by the current determination result is walking 1 (R902C), the content example shown in FIG. Reference is made to “1” (R903AC) indicating that this is to be done. On the other hand, for example, when the environment type indicated in the previous determination result is in the train (R901A) and the determination result indicated in the current determination result is in the car (R901B), the content example shown in FIG. Reference is made to “0” (R903AB), which indicates that is not allowed.

  The environment determination unit 102C determines whether or not the transition to the current determination result is allowed based on the transition condition referred to in S402 (S403). When the transition to the current determination result is allowed (YES in S403), the environment determination unit 102C stores the current determination result indicating the environment type specified in S110 in the determination result storage unit 102E (S404). S111 described in the first embodiment is executed. On the other hand, when the transition to the current determination result is not permitted (NO in S403), S404 and S111 are skipped.

  As described above, it is determined whether or not the transition to the current determination result is allowed based on the transition condition, and the transition to the invalid determination result is avoided, so that erroneous determination in the environment determination unit 102C can be prevented. For example, in the content example of FIG. 15, regarding the transition destination determination results “stationary 1” and “stationary 2”, if the transition source determination result is “in a train” or “in a car”, the transition is permitted. A value “0” (R903AF, R903BF, R903AG, R903BG) indicating not to be displayed is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “stationary 1” or “stationary 2” most, the determination result immediately before is “in the train” or “in the car” ”, There is a high possibility that the train or car on board is in a stopped state, so the transition condition is set so that the previous judgment result“ in the train ”is maintained without allowing the transition. This is due to the reason. On the other hand, for the transition destination determination results “walk 1” to “walk 3”, if the transition source determination result is “in a train”, “in a car”, “stationary 1”, or “stationary 2”, A value “1” (R903AC, R903BC, R903FC, R903GC, R903AD, R903BD, R903FD, R903GD, R903AE, R903BE, R903FE, R903GE) indicating that the transition is allowed is shown. This is a case where the immediately preceding determination result is “in a train”, “in a car”, “stationary 1”, or “stationary 2”, and the detection value from each detection unit is “walking 1” in this determination process. ”Thru“ Walking 3 ”when the conditions are most satisfied, there is a high possibility that the user gets off the train or car that is on board and starts walking or is likely to start walking from a stationary state. This is because the transition condition is set so as to allow the transition.

  In the example of FIG. 15, regarding the transition destination determination results “in the train” and “in the car”, if the transition source determination result is “stationary 1” or “stationary 2”, the transition is permitted. A value “1” (R 903 FA, R 903 GA, R 903 FB, R 903 GB) is shown. This is the case where the immediately preceding determination result is “stationary 1” or “stationary 2”, and in the current determination processing, the detection value from each detection unit is the most in the determination condition “in the train” or “in the car”. When satisfied, boarding a stopped train or car, it is considered that it has detected that the boarding train or car has started to move after it has been determined to be “stationary 1” or “stationary 2” at that time. For this reason, the transition condition is set so as to allow the transition.

  Further, in the content example of FIG. 15, for the transition destination determination result “in the car”, when the transition source determination result is “in the train”, the value “0” (R903AB) indicating that the transition is not permitted. )It is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “in the car” most, if the previous determination result is “in the train”, This is because the transition condition is set so as to maintain the immediately preceding determination result “inside the train” without allowing the transition, since it is considered that the fluctuation of the vehicle is temporarily gentle.

Further, in the content example of FIG. 15, for the transition destination determination result “within the train”, when the transition source determination result is “within the car”, the value “0” (R903BA) indicating that the transition is not permitted. )It is shown. This means that even if the detection value from each detector in the current determination process satisfies the determination condition “in the train” most, if the determination result immediately before is “in the car”, This is because the transition condition is set so as to maintain the immediately preceding determination result “inside the vehicle” without allowing the transition, since it is considered that the vibration of the vehicle is temporarily severe.
Embodiment 4 An information processing apparatus according to Embodiment 4 has the same configuration as the information processing apparatus according to Embodiment 3. However, the environment determination unit 102C according to the fourth embodiment sets the determination condition associated with the environment type that may be a transition destination from the previous determination result based on the information in the transition condition storage unit 102G. This is different from the other embodiments.

  FIG. 17 shows an example of the flow of processing in the environment determination unit 102C according to the fourth embodiment. In the example shown in FIG. J01, the same reference numerals are given to the same parts as the processing flow in the environment determination unit 102C according to the first embodiment shown in FIG. 6, or the illustration is omitted. Note that the environment determination unit 102C according to the fourth embodiment is not limited to the example illustrated in FIG. 17, and the execution procedure of each process may be changed without departing from the spirit of the fourth embodiment.

  The environment determination unit 102C according to the fourth embodiment refers to the previous determination result from the determination result storage unit 102E (S501) before starting the loop process A described in the description of the first embodiment (S102). And S102 thru | or S104 are performed like Embodiment 1, S502 is performed in the process time after performing the loop process B and before performing S105.

  In other words, the environment determination unit 102C refers from the transition condition storage unit 102G to the transition condition corresponding to the environment type to be determined in the current loop process B and the environment type indicated by the previous determination result. The environment type to be determined in the current loop process B is, for example, the jth environment type referenced from the determination condition storage unit 102B in S105. That is, by making the environment type sequence in the determination condition storage unit 102B and the environment type sequence in the transition condition storage unit 102G the same, the jth environment among the transition destination environment types in the transition condition storage unit 102G The type can be referred to as the environment type to be determined in the current loop process B. For example, when the environment type indicated in the previous determination result is in the train (R901A) and the environment type to be determined in the current loop process B is walking 1 (R902C) (for example, loop variable j = 2) In this case, the environment type to be determined in the current loop process B is “walking 1”), and in the example of content shown in FIG. 15, “1” (R903AC) indicating that the transition is allowed is referred to. . On the other hand, for example, when the environment type indicated in the previous determination result is in the train (R901A) and the environment type to be determined in the current loop process B is stationary 1 (R902F) (for example, the loop variable j = 5, the environment type to be determined in the current loop process B is “stationary 1”. In the example of the content shown in FIG. 15, “0” (R903AF) indicating that no transition is allowed is referred to. Is done.

  The environment determination unit 102C determines whether or not the transition to the current determination result is allowed based on the transition condition referred to in S502 (S503). When transition to the current determination result is allowed (YES in S503), the environment determination unit 102C executes S105 and subsequent steps. On the other hand, when the transition to the current determination result is not permitted (NO in S503), the loop process B after S105 is skipped.

  FIG. 18 shows a content example of the determination result formed by the processing up to S110 by the environment determination unit 102C according to the fourth embodiment when the previous determination result is “on the train”. In the example of FIG. J3, according to the determination process controlled based on the content example of the transition condition storage unit 102G illustrated in FIG. 15, the content example of the storage unit 102A illustrated in FIG. 4 and the determination condition storage unit 102B illustrated in FIG. An example of the determination result based on the content example is shown. The same parts as those in FIG. 7 are denoted by the same reference numerals.

  In the example of FIG. 18, the determination results (R5021B2, R5022B2, R5023B2, R5024B2, R5021F2, R5022F2, R5023F2, and “Fastness 1” (R501F) and “Still 2” (R501G) of the environmental types R5024F2, R5021G2, R5022G2, R5023G2, and R5024G2) are marked with “-”. This is the content example shown in FIG. 15, and among the transition conditions corresponding to the environment type “in the train” (R901A) as the transition source, the environment type “in the car” (R902B) as the transition destination and “stationary 1”. Since “0” indicating that the transition is not permitted is set for the transition conditions (R903AB, R903AF, R903AG) corresponding to each of (R902F) and “stationary 2” (R902G), in S503 and subsequent steps S105 This is because the loop processing B is skipped.

In this way, after determining the determination condition associated with the environment type in which the transition is allowed based on the preset transition condition, the determination result is set to the determination condition in which the transition is allowed. It is possible to reduce the calculation cost until obtaining.
(Embodiment 5) [Description of Determination Condition Storage Unit 102B According to Embodiment 5] An information processing apparatus according to Embodiment 5 employs a detection value of the human detection unit 114 as a determination target of the surrounding environment. For example, in the information processing apparatus according to the fifth embodiment, the content of the determination condition storage unit 102B included in the second system unit 102 and the control content of the processing unit 101A included in the first system unit 101 are the information according to the first embodiment. Different from the processing device. Since the configuration of the information processing apparatus according to the fifth embodiment is the same as the configuration described in the first embodiment, the description thereof is omitted.

  An example of the contents of the determination condition storage unit 102B according to the fifth embodiment is shown in FIG. In the example illustrated in FIG. 19, the same reference numerals are given to the same portions as the content example of the determination condition storage unit 102 </ b> B according to the first embodiment illustrated in FIG. 5.

  In the example of FIG. 19, the walking group A including the environment types “walk 1” (R401C) to “walk 3” (R401E) and the environment types “walk 4” (R401L) to “walk 6” (R401N) are included. Two groups, the walking group B, are shown.

  In the walking group A in FIG. 19, “Yes” indicating that the presence of a human body is detected is set as a determination condition for human detection (R4024). On the other hand, in the walking group B of FIG. 19, “None” indicating that the presence of a human body is not detected is set as the determination condition of the human detection (R4024). In the walking group B, the determination condition for vibration detection (R4022) is set to a value lower than that of the walking group A as a whole. For example, in the walking group A environment type “walking 1”, the vibration detection is “less than 60 steps / minute” (R4022C), whereas in the walking group B environment type “walking 4”, the vibration detection is less than 50 steps / minute. (R4022L). Further, for example, vibration detection is “60 steps / minute or more and less than 120 steps / minute” (R4022D) in the environment type “walk 2” of the walking group A, while vibration is detected in the environment type “walk 5” of the walking group B. The detection is “50 steps / min or more and less than 110 steps / min” (R4022M). This is because the state where there is no human detection despite the walking state is highly likely that the information processing apparatus is housed in a bag or the like and is walking. That is, in the state where the information processing apparatus is accommodated in the bag, the shaking due to walking may be difficult to be transmitted to the information processing apparatus, and thus the number of steps is not easily detected. In the example shown in FIG. 19, such a step number detection failure is taken into consideration.

  In the example of FIG. 19, the stationary group A including the environment types “stationary 1” (R401F) and “stationary 2” (R401G), and the environment types “stationary 3” (R401Q) and “stationary 4” (R401R) are set. Two groups, including stationary group B, are shown.

  In the stationary group A in FIG. 19, “present” (R4024F, R4024G) indicating that the presence of a human body is detected is set as a determination condition for human detection (R4024). On the other hand, in the stationary group B of FIG. 19, “none” (R4024Q, R4024R) indicating that the presence of a human body is not detected is set as the determination condition of the human detection (R4024). The same contents are set for the stationary group A and the stationary group B shown in FIG. 19 except for the determination condition of human detection (R4024).

  Next, FIG. 20 shows an example of the contents of control by the processing unit 101A according to the fifth embodiment. In the example illustrated in FIG. 20, the same reference numerals are assigned to the same portions as those in the control content example by the processing unit 101 </ b> A according to the first embodiment illustrated in FIG. 10.

  In the example of FIG. 20, the walking group A including the environment types “walking 1” (R701C) to “walking 3” (R701E) and the environment types “walking 4” (R701L) to “walking 6” (R701N) are included. Two groups, the walking group B, are shown, and the walking group A and the walking group B are set with an operating state (R702) having overlapping contents. For example, the operation state “Ring volume (low)” (R702C) is set for the environment type “walk 1” (R701C) of the walking group A, and the environment type “walk 4” (R701L) of the walking group B is also set. The operation state “ring volume (small)” (R702L) is set.

  In the example of FIG. 20, the stationary group A including the environment types “stationary 1” (R701F) and “stationary 2” (R701G), and the environment types “stationary 3” (R701Q) and “stationary 4” (R701R) are set. Two groups, including stationary group B, are shown. The environment types “stationary 1” and “stationary 3” have different detection conditions for human detection in the example of FIG. 19, and the other determination conditions have the same contents. On the other hand, in the example of FIG. 20, “Manner mode” and “With vibrator output” (R702F1) are shown as the operation state for the environment type “Still 1”, and “Ring volume” is shown as the operation state for the environment type “Still 3”. (Middle) "(R702Q) is shown. For example, the environment type “stationary 1” is quieter than the environment types “stationary 2” and “stationary 4” (in the example of FIG. 19, the sound pressure detection condition for stationary 1 is “less than 70 dB”). Since the sound pressure detection conditions for the stationary 2 and stationary 4 are “70 dB or more”), it is desirable to have an operation state with quietness such as “manner mode”. This is because, in a quiet state, for example, it may be a place that regulates the act of making noises such as sleeping or in a library. On the other hand, the environment type “stationary 3” is quieter than the environment types “stationary 2” and “stationary 4” in the same manner as the environment type “stationary 1” (in the example of FIG. The sound pressure detection condition for stationary 2 and stationary 4 is “70 dB or more” while “less than 70 dB”, but it is desirable to use a notification means such as outputting a ring tone for notifying the user of an incoming call. . This is because, when the presence of a person is not detected in the vicinity, although the person is in a quiet state, the degree of worrying about the influence of the notification means, such as hindering the concentration of surrounding people, becomes low. Further, in the stationary group B, the incoming call volume may be increased as compared with a normal case in order to surely deliver a notification to a user who may be not nearby.

  Although the embodiment of the present invention has been described in detail above, the present invention is not limited to the specific embodiment, and various modifications and changes can be made within the scope of the gist of the present invention described in the claims. Is possible. Note that the scope of the present invention extends to any combination of the first to fifth embodiments.

  In this embodiment, the information processing apparatus having the wireless communication control unit 103 has been described as an example of the information processing apparatus, but the present invention is not limited to this. The information processing apparatus may be, for example, a portable device or a stationary device. Examples of portable devices include portable phones, smartphones, electronic notebooks, electronic dictionaries, PDA (Personal Digital Assistants), calculators, GPS (Global Positioning System), notebook computers, and portable game machines. Or a camera or the like. As the stationary device, for example, a device installed outdoors may be used. Moreover, the apparatus which does not incorporate a battery and operates by receiving power supply from an external power source may be used.

Claims (7)

An information processing apparatus,
Various sensors,
A first system operating under the control of an operating system;
A second system that is operable independently of the first system and that determines a surrounding environment of the information processing device based on detection values of the various sensors;
Have
The first system is:
A storage unit that stores the program that defines the operation of the information processing apparatus according to the surrounding environment determined by the second system;
A processing unit that executes the program under the control of an operating system;
Have
The second system is:
An accumulation unit that accumulates detection values from various sensors included in the information processing apparatus in association with the type of the sensor;
A determination condition storage unit that stores a determination condition indicating a condition of a detection value detected from various sensors included in the information processing apparatus in the environment in association with an environment type indicating a type of a surrounding environment of the information processing apparatus;
The detected value stored in the storage unit and the condition of the detected value stored in the determination condition storage unit are compared, and the environment type corresponding to the condition satisfied by the detected value based on the comparison result An environment determination unit for determining the surrounding environment of the information processing apparatus by specifying
An information processing apparatus comprising: The second system receives power supply from the information processing apparatus even when the operation of the first system is in a dormant state, operates the environment determination unit at a predetermined time interval,
The environment determination unit stores information on the surrounding environment indicating the determination result in a memory area that can be referred to by the first system.
The information processing apparatus according to claim 1. The second system is:
A determination result storage unit that stores information about the surrounding environment indicating the determination result determined by the environment determination unit;
Information on the surrounding environment indicating the determination result determined by the environment determination unit in the previous determination operation is referred to from the determination result storage unit, and the previous determination result referred to is compared with the current determination result, and the determination result A notification unit that notifies the first system when there is a change,
The information processing apparatus according to claim 1, further comprising: The second system is:
A determination result storage unit that stores information about the surrounding environment indicating the determination result determined by the environment determination unit;
A transition condition storage unit that stores a transition condition indicating whether a transition from a determination result that is a transition source to a determination result that is a transition destination is allowed;
Have
The environment determination unit refers to information on the surrounding environment indicating the previous determination result from the determination result storage unit, and determines whether the transition from the previous determination result referred to to the current determination result is permitted. If the transition is not allowed, the current determination result is invalidated and the previous determination result is adopted.
The information processing apparatus according to any one of claims 1 to 3. The second system is:
A determination result storage unit that stores information about the surrounding environment indicating the determination result determined by the environment determination unit;
A transition condition storage unit that stores a transition condition indicating whether a transition from a determination result that is a transition source to a determination result that is a transition destination is allowed;
Have
The environment determination unit refers to information related to the surrounding environment indicating the previous determination result from the determination result storage unit, and the transition is allowed based on the transition condition having the referred previous determination result as a transition source. The determination result is specified, and the determination condition corresponding to the specified determination result is a target of the determination process of the surrounding environment.
The information processing apparatus according to any one of claims 1 to 3. The various sensors include an infrared human sensor and a vibration sensor,
The determination condition storage unit
Based on the detection value from the vibration sensor in the first case where the detection value from the infrared human sensor indicates a state where a person is detected and the second case where the detection value is not detected. Different conditions regarding the number of steps measured
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. The various sensors include a high-speed movement detection sensor and a vibration sensor,
The determination condition stored in the determination condition storage unit includes a first determination condition associated with an environment type indicating a state of being in a train vehicle and a first determination condition associated with an environment type indicating a state of being in a car. Including two judgment conditions,
The first determination condition is a first step number condition indicating an upper limit value of the number of steps measured based on a detection value of the vibration sensor in a predetermined unit time in which high-speed movement is detected by the high-speed movement detection sensor. Including
The second determination condition includes a second step number condition indicating an upper limit value of the number of steps smaller than the first step number condition,
In the predetermined unit time in which high-speed movement is detected by the high-speed movement detection sensor, the environment determination unit is configured such that the number of steps measured based on the detection value of the vibration sensor has an upper limit value indicated in the second step number condition. When not exceeding, the surrounding environment is determined based on the environment type associated with the second determination condition, the upper limit value indicated in the second step count condition is exceeded, and the upper limit value indicated in the first step count condition is not exceeded Determines the surrounding environment based on the environment type associated with the first determination condition,
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus.

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