JP2007094774A - Information acquisition device for acquiring information from external database, and information acquisition program for acquiring information from external database - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information acquisition device and information acquisition program for acquiring desirable information for a user from an external database. <P>SOLUTION: The information acquisition device for acquiring predetermined information from an external database comprises: a measured value acquisition means for acquiring a measured value from one or more measurement means for acquiring at least one of biological information on a user of the information acquisition device, ambient information of the information acquisition device, identification information for objects around the information acquisition device; an information acquisition means for acquiring information from the external database based on the result of measurement by the measurement means; and an acquired information storage means for storing the information acquired by the information acquisition means. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an information acquisition apparatus for acquiring information from an external database and an information acquisition program for acquiring information from an external database, and more specifically, an information acquisition apparatus and an information acquisition program for acquiring information desirable for a user from an external database It is about.

  Conventionally, various terminal devices such as personal computers and mobile phones handle various types of information and display them on the screens of these devices. These terminals acquire information from an external database, display the acquired information on a screen, and provide information to the user of the terminal. For example, taking the search on the Internet as an example, the user can display information desired by the user on the screen of the personal computer by inputting a keyword related to the information to be searched to the personal computer.

  Further, the information requested by the user varies depending on the situation where the user is placed and the surrounding situation. In order to acquire the surrounding situation, in the train seat status display system of the invention described in Patent Document 1, in order to acquire the vacant status of the train seat, a pressure sensor is attached to the seat, and a ticket is attached to the contactless IC card. Thus, a technique for collecting information on whether or not a person who has a ticket is seated in a seat has been proposed.

JP 2003-4458 A

  However, the search function using keywords and the like requires a user to perform each operation, which is troublesome.

  The present invention has been made to solve the above-described problems, and an object thereof is to provide an information acquisition apparatus and an information acquisition program for acquiring information desirable for a user from an external database.

  In order to achieve this object, the information acquisition device according to claim 1 is an information acquisition device that acquires predetermined information from an external database, wherein the user's biological information of the information acquisition device, surroundings of the information acquisition device Measurement value acquisition means for acquiring a measurement value from one or a plurality of measurement means for measuring at least one of the environment information of the information and the identification information of what is present around the information acquisition device, and measurement by the measurement means The information acquisition means for acquiring information from an external database based on the measured result and the acquisition information storage means for storing the acquisition information acquired by the information acquisition means are provided.

  Further, the information acquisition device according to claim 2 is the information acquisition device according to claim 1, comprising an inference means for inferring information necessary for the user based on a measurement result measured by the measurement means, The information acquisition means acquires information from an external database based on the inference result of the inference means.

  The information acquisition device according to claim 3 is the information acquisition device according to claim 2, wherein the inference means includes a category to which information necessary for the user belongs based on a measurement result measured by the measurement means. The information acquisition means acquires information belonging to the category inferred by the inference means from an external database.

  An information acquisition device according to claim 4 is the information acquisition device according to any one of claims 1 to 3, wherein the information acquisition device is stored in display means for displaying the acquisition information and in the acquisition information storage means. Acquisition information display control means for displaying the acquired information on the display means.

  An information acquisition device according to claim 5 is the information acquisition device according to any one of claims 1 to 4, wherein the measurement value acquisition means includes a contact temperature sensor for measuring a contact temperature, and a sweating amount. Sweat sensor that measures heart rate, Heart rate sensor that measures heart rate, Illuminance sensor that measures illuminance, Temperature sensor that measures temperature, Humidity sensor that measures humidity, Sound sensor that measures sound, Wireless identification information from wireless tag The measurement value is acquired from at least one of the measurement means among identification information reception means received by communication.

  An information acquisition device according to claim 6 is the information acquisition device according to any one of claims 1 to 5, wherein a user can specify a condition for information acquired by the information acquisition means. The information acquiring unit includes a specifying unit, and acquires information based on a condition by the condition specifying unit.

  An information acquisition device according to claim 7 is the information acquisition device according to any one of claims 1 to 6, wherein the position information is information indicating the position of the information acquisition device. An acquisition unit is provided, wherein the information acquisition unit acquires information based on position information obtained by the position information acquisition unit.

  An information acquisition device according to claim 8 is the information acquisition device according to any one of claims 4 to 7, wherein a list creation means for creating an acquisition information list that is a list of the acquisition information; A list display control means for displaying the acquisition information list on the display means; and an acquisition information selection means for allowing a user to select specific information from the acquisition information list. The acquired information selected by the acquired information selecting means is displayed on the display means.

  The information acquisition device according to claim 9 is the information acquisition device according to claim 8, wherein when there are a plurality of the categories inferred by the inference means, the list creation means performs the acquisition information for each category. It is characterized by creating a list.

The information acquisition program according to claim 10, the computer of the information acquisition device for acquiring predetermined information from an external database, the biological information of the user of the information acquisition device, information on the environment around the information acquisition device, One or a plurality of measuring means for measuring at least one of information existing around the information acquisition device, and information necessary for the user from an external database based on the measurement result measured by the measuring means Information acquisition means to acquire;
It is made to function as an acquisition information storage means which memorize | stores the acquisition information acquired by the said acquisition means.

  According to the information acquisition device of the first aspect, information desirable for the user can be automatically acquired from the external database.

  Further, according to the information acquisition device according to claim 2, in addition to the effect produced by the information acquisition device according to claim 1, the inference means infers information necessary for the user, so that information desirable for the user is accurately acquired. be able to.

  Moreover, according to the information acquisition apparatus of Claim 3, in addition to the effect which the information acquisition apparatus of Claim 2 show | plays, the information which belongs to the category inferred by the reasoning means can be acquired.

  Moreover, according to the information acquisition apparatus of Claim 4, in addition to the effect which the information acquisition apparatus of any one of Claim 1 to 3 show | plays, the acquired information can be displayed on a display means.

  Moreover, according to the information acquisition apparatus of Claim 5, in addition to the effect which the information acquisition apparatus in any one of Claim 1 to 4 show | plays, the contact temperature sensor which measures contact temperature, and the amount of perspiration are measured Sweating sensor, heart rate sensor that measures heart rate, illuminance sensor that measures illuminance, temperature sensor that measures temperature, humidity sensor that measures humidity, sound sensor that measures sound, and identification information of objects received from wireless tags via wireless communication Information can be acquired based on the measured value acquired from at least one of the measuring means among the identification information receiving means.

  Moreover, according to the information acquisition apparatus of Claim 6, in addition to the effect which the information acquisition apparatus in any one of Claims 1-5 show | plays, the conditions about the information which a user acquires can be designated. .

  Moreover, according to the information acquisition apparatus of Claim 7, in addition to the effect which the information acquisition apparatus of any one of Claims 1-6 show | plays, information can be acquired based on position information.

  According to the information acquisition device of claim 8, in addition to the effect of the information acquisition device of any of claims 4 to 7, the user selects information to be displayed from the acquisition information list can do.

  Further, according to the information acquisition device of the ninth aspect, in addition to the effect produced by the information acquisition device of the eighth aspect, the information acquisition list is created for each category, so that the user's operation is simplified.

  According to the information acquisition program of the tenth aspect, information desirable for the user can be automatically acquired from the external database.

  Hereinafter, a first embodiment to a fourth embodiment of the present invention will be described with reference to the drawings. In the first embodiment, in the mobile phone 1 that is the information acquisition device of the present invention, information on the living body of the user of the mobile phone 1 (body temperature, heart rate, etc .; hereinafter referred to as “biological information”) is measured. The state of the user's biological body (tension, sleepiness, etc., hereinafter referred to as “biological state”) is inferred, information necessary for the user according to the biological state is inferred, and the information is acquired from the external database 50. In the second embodiment, in the mobile phone 100 that is the information acquisition apparatus of the present invention, information on the surrounding environment where the mobile phone 100 exists (brightness, humidity, etc .; hereinafter referred to as “environment information”) is measured. Inferring the surrounding environmental conditions (steamy daytime outdoors, cold nights, noisy rooms, etc., hereinafter referred to as “environmental conditions”), inferring the information necessary for the user according to the environmental conditions, The information is acquired from the external database 50.

  In the third embodiment, in the mobile phone 200 that is the information acquisition apparatus of the present invention, information necessary for the user is inferred from the types of things present around the mobile phone 200, and the information is acquired from the external database 50. Note that an RFID tag is used to grasp the type of object. In the fourth embodiment, in the mobile phone 290 that is the information acquisition apparatus of the present invention, the biological information of the user of the mobile phone 290 and the surrounding state are measured, the type of the surroundings is acquired, and the biological state of the user is obtained. Inferring the surrounding environmental state and the user's action state, inferring information necessary for the user according to the state, and acquiring the information from the external database 50.

  First, the first embodiment will be described. First, the mobile phone 1 that is a user display device will be described. 1 is an external view of the mobile phone 1 in an opened state, FIG. 2 is a bottom view of the mobile phone 1 in a closed state, and FIG. 3 is a block diagram showing an electrical configuration of the mobile phone 1 FIG. As shown in FIG. 1, the cellular phone 1 includes a display 2, a numeric key input unit 3, a multi-button 4 having four-direction buttons and a determination button, a call start button 5, and a call end button 6. And a microphone 7, a speaker 8, a power ON button 9, a power OFF button 10, and an antenna 12 (see FIGS. 2 and 3). The numeric key input unit 3, the multi button 4, the call start button 5, the call end button 6, the power ON button 9, and the power OFF button 10 constitute a key input unit 38 (see FIG. 3).

  As shown in FIG. 3, the mobile phone 1 includes a CPU 21 that controls the entire mobile phone 1, a RAM 400 that temporarily stores data, and a program that controls the mobile phone 1 (in the main part of the present invention). And a ROM 23 that stores a certain information acquisition program). The CPU 21 is connected to an I / F circuit 45 connected to the external database 50, a key input unit 38 for inputting characters and the like, a display 2, and a hard disk 300 storing programs and various information. .

  In addition, a contact temperature sensor 13, a heart rate sensor 14, and a sweat sensor 15, which are biological sensors, are connected to the CPU 21. The contact temperature sensor 13 is a so-called thermometer using a platinum resistance thermometer, thermistor, thermocouple or the like, and measures the temperature of the palm or finger touching the device. The heart rate sensor 14 is a so-called pressure sensor, and is provided on the surface of the mobile phone 1. Then, the blood pressure (pulse rate) is measured by measuring the blood pressure. The perspiration sensor 15 measures the perspiration amount of the touching person.

  Then, as shown in FIG. 2, the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor 15 are installed on the bottom surface of the mobile phone 1 in a closed state. This place is a portion where the user touches the palm when holding the mobile phone 1 and performing key operations.

  Here, data used in the present embodiment will be described.

  FIG. 4 is an explanatory diagram for explaining external information stored in the external database 50. As shown in FIG. 4, various information is stored in the external database 50. For example, information A is information on the contents of “this week's recommended events”, information B is information on the contents of “introducing events in Shiga”, and information C is information on the contents of “introducing events in Kyoto”. . The external information stored in these external databases 50 is sequentially updated by the manager of each external information. All of these external information is list information. For example, the information P is information on the content of “recommended menu introduction”, and the content displays a list of menus. For example, when the information P is selected, a list of menus such as “mochi nabe”, “torino mayonnaise”, “sword fish sashimi”, “hokuhoku croquette bowl”, “pig tongue”, “dish udon” Is displayed.

  FIG. 5 is a schematic diagram showing the configuration of the hard disk 300. 6 is a schematic diagram showing the configuration of the external information storage area 301 used in the mobile phone 1, and FIG. 7 shows a standard biometric information table 302 used when determining external information to be acquired. FIG. 8 is a schematic diagram illustrating a configuration of a biological state table 303 used when determining external information to be acquired. FIG. 9 is a schematic diagram illustrating determining external information to be acquired. It is a schematic diagram which shows the structure of the acquisition external information determination table 304 used.

  First, the hard disk 300 shown in FIG. 5 will be described. The hard disk 300 stores information used by the mobile phone 1. For example, an external information storage area 301, a standard value biological information table 302, a biological state table 303, an acquired external information determination table 304, and the like are provided.

  Here, the external information storage area 301 shown in FIG. 6 will be described. The external information storage area 301 stores external information acquired from the external database 50, and the user displays the external information on the display 2 by calling the external information stored in the external information storage area 301. Can do. For example, here, information C and information D are stored.

  Next, the standard value biometric information table 302 shown in FIG. 7 will be described. The standard biometric information table 302 stores standard biometric information values that serve as a reference when determining the biometric state. In the first embodiment, heart rate, body temperature, and sweating amount are used as the biological information. As shown in FIG. 7, the standard values are set such that the heart rate is 80 times per minute, the body temperature is 36.1 ° C., and the amount of sweat is 10.5 g.

  Next, the biological state table 303 shown in FIG. 8 will be described. The biological state table 303 stores what “biological state” the values of “TEMP”, “HR”, and “SWEAT”, which are variables obtained in the acquired external information determination process described later, are. Has been.

  Note that “TEMP” obtained in the acquired external information determination process described later is a variable set based on the measured value from the contact temperature sensor 13 and the standard value of the body temperature stored in the standard value biological information table 302. Further, “HR” obtained in the acquired external information determination process described later is a variable set based on the measurement value from the heart rate sensor 14 and the standard value of the heart rate stored in the standard value biological information table 302. Further, “SWEAT” obtained in the acquired external information determination process described later is a variable set based on the measured value from the sweat sensor 15 and the standard value of the sweat amount stored in the standard value biological information table.

  In the first embodiment, four states of “excited”, “hungry”, “sleepy”, and “normal” are handled as the “biological state”. In the biological state table 303 shown in FIG. 8, values of variables “TEMP”, “HR”, and “SWEAT” corresponding to the three states of “excitement”, “hungry”, and “sleepy” are associated with each other. Yes.

  In the biological state table 303 shown in FIG. 8, when the HR value is 4 to 5, the TEMP value is 2 to 4, and the SWEAT value is 4 to 5, “excitement” of the biological state is associated. Yes. Further, when HR is 2, TEMP is 2, and SWEAT is 2, the biological condition “hungry” is associated. Further, when HR is 2, TEMP is 3, and SWEAT is 1, the biological state “sleepy” is associated. Note that, in the acquired external information determination process described later, when the combination of the three variables does not correspond to any of the above, it is set as “normal”. For this reason, “normal” is not described in the biological state table 303.

  Then, as a biological state inference value that is a value indicating each “biological state”, “1” is associated with “excited”, “2” is associated with “hungry”, and “3” is associated with “sleepy”. “Normal” is associated with “0”. The biological state inference value is used in an acquisition external information determination process described later.

  Next, the acquired external information determination table 304 shown in FIG. 9 will be described. The acquired external information determination table 304 stores which external information is to be acquired from the plurality of external information stored in the external database 50 in the case of each biological state.

  In the example illustrated in FIG. 8, when the biological state is “excited” (the biological state inference value is 1), the information A is associated. When the biological state is “hungry” (the biological state inference value is 2), the information E is associated. Then, in the case of the biological state “sleepy” (the biological state inference value is 3), the information J is associated.

  Thereby, when the biological state is “excited” (the biological state inference value is 1), the information A is acquired from the external database 50 to the RAM 400 by the external information acquisition process described later, and the external information display process described later is performed. The content of the information A is displayed on the display 2. When the biological state is “hungry” (the biological state inference value is 2), the information E is acquired from the external database 50 to the RAM 400 and the content of the information E is displayed on the display 2. When the biological state is “sleepy” (the biological state inference value is 3), the information J is acquired from the external database 50 to the RAM 400 and the content of the information J is displayed on the display 2.

  FIG. 10 is a schematic diagram showing the configuration of the RAM 400. The RAM 400 includes a biosensor first buffer area 401, a biosensor second buffer area 402, a biological state inference value storage area 403, an external information temporary storage area 404, and a work area 405.

  The biosensor first buffer area 401 is an area for temporarily storing measurement values from each sensor in a measurement value acquisition process described later. The biosensor second buffer area 402 is an area for storing measurement values from each sensor temporarily stored in the biosensor first buffer area 401 in a measurement value acquisition process described later. The biological state inference value storage area 403 is an area for storing the biological state inference value calculated in the acquired external information determination process described later. The external information temporary storage area 404 is an area for temporarily storing the acquired external information in the external information acquisition process described later. A work area 405 is an area used for the CPU 21 to execute each process described later.

  Next, processing for acquiring external information from the external database 50 in the first embodiment will be described. FIG. 11 is a flowchart of main processing performed by the CPU 21.

  The main process shown in FIG. 11 is started when the user operates the power ON button 9 of the key input unit 38 to input the power of the mobile phone 1. First, in order to acquire the measurement values of the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor 15, a measurement value acquisition process is started (step 1, hereinafter, the step is simply referred to as S). Next, an acquisition external information determination process (S2) for inferring information necessary for the user from the external database 50 based on the measurement values acquired from each sensor by the measurement value acquisition process and determining external information to be acquired is performed. . Next, external information acquisition processing (S3) for acquiring external information from the external database 50 is performed based on the biological state inference value calculated in S2. Next, an external information display process (S4) for displaying the external information acquired in S3 on the display 2 is performed.

  When the external information display process (S4) is completed, it is detected whether or not the power OFF button 10 of the key input unit 38 is pressed (S5). If the power OFF button 10 is not pressed (S5: NO), the process returns to S2. When the power OFF button 10 is pressed (S5: YES), all the processes are finished (S6). Each process will be described in detail below.

  First, the measurement value acquisition process started in S1 of the main process shown in FIG. 11 will be described. FIG. 12 is a flowchart of the measurement value acquisition process.

  When the measurement value acquisition process is activated in S1 of the main process, the measurement value acquisition process is started. First, the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor 15 are activated (S101).

When each sensor measures its measured value, it immediately transmits the measured value to the CPU 21. Here, the interval at which each sensor transmits the measurement value to the CPU 21 is a predetermined interval (for example, an interval of 5 seconds).
After starting each sensor as described above in S1, the CPU 21 determines whether or not a measurement value from each sensor has been received (S102). When the measurement value is not received (S102: NO), the process waits until the measurement value is received. When the measurement value is received (S102: YES), the measurement value is stored in the biosensor first buffer area 401 of the RAM 400 (S103).

  When the measurement values are stored in the biosensor first buffer area 401, the CPU 21 determines whether or not the measurement values from all the sensors are stored in the biosensor first buffer area 401 of the RAM 400 (S104). When the measured values of all the sensors are not stored (S104: NO), the process returns to S102. When the measurement values of all the sensors are stored (S104: YES), the measurement values from each sensor stored in the biosensor first buffer area 401 are stored in the biosensor second buffer area 402 ( S105). At this time, the CPU 21 sets a flag indicating that the biosensor second buffer area 402 has been updated in the work area 405.

  Thereafter, all measurement values from each sensor stored in the biosensor first buffer area 401 are deleted (S106), and the process returns to S102 and waits until the measurement values from each sensor are received again.

  Next, the acquired external information determination process (S2 in FIG. 11) performed in the main process will be described. FIG. 13 is a flowchart of the acquired external information determination process.

  After the measurement value acquisition process is activated in S1 of the main process, the acquisition external information determination process (S2) is started. When the acquisition external information determination process is started, first, the biological state inference value storage area 403 of the RAM 400 is initialized (S201). The initialization here is to erase all the data stored in the biological state inference value storage area 403 of the RAM 400.

  When the biological state inference value storage area 403 of the RAM 400 is initialized, it is determined whether or not the biological sensor second buffer area 402 of the RAM 400 is updated in S105 of the measurement value acquisition process (S202). If the work area 405 is flagged, it is determined that the biosensor second buffer area 402 has been updated. If the biosensor second buffer area 402 has not been updated (S202: NO), the process waits until the biosensor second buffer area 402 is updated. When the biosensor second buffer area 402 has been updated, the flag of the work area 405 is returned to 0 (S202: YES), and the above-described variable HR is set by the heart rate classification process (S203).

  Here, the heart rate classification process (S203) will be described. FIG. 14 is a flowchart of the heart rate classification process. In S202 of the acquisition external information determination process, when it is determined that the biosensor second buffer area 402 has been updated (S202: YES), the heart rate classification process of S203 is started.

  When the heart rate classification process is started, the heart rate stored in the standard value biometric information table 302 of the RAM 400 from the measured value of the heart rate stored in the biosensor second buffer area 402 (measured value of the heart rate sensor 14). Is subtracted and a heart rate difference X is calculated (S2301).

  Then, it is determined whether or not the heart rate difference X is -10 or less (S2302). If the heart rate difference X is −10 or less (S2302: YES), 1 is set in the variable HR (S2306), the heart rate classification process is terminated, and the process returns to the acquired external information determination process. If the heart rate difference X is not -10 or less (S2302: NO), it is determined whether the heart rate difference X is -5 or less (S2303).

  If the heart rate difference X is −5 or less (S2303: YES), the variable HR is set to 2 (S2307), the heart rate classification process is terminated, and the process returns to the acquired external information determination process. If the heart rate difference X is not -5 or less (S2303: NO), it is determined whether the heart rate difference X is 5 or less (S2304).

  If the heart rate difference X is 5 or less (S2304: YES), the variable HR is set to 3 (S2308), the heart rate classification process is terminated, and the process returns to the acquired external information determination process. If the heart rate difference X is not 5 or less (S2304: NO), it is determined whether the heart rate difference X is 15 or less (S2305).

  If the heart rate difference X is 15 or less (S2305: YES), the variable HR is set to 4 (S2309), the heart rate classification process is terminated, and the process returns to the acquired external information determination process. If the heart rate difference X is not 15 or less (S2304: NO), the variable HR is set to 5 (S2310), the heart rate classification process is terminated, and the process returns to the acquired external information determination process.

  After the CPU 21 sets the variable HR by the heart rate classification process, the variable TEMP is set by the body temperature classification process (S204). Details of the body temperature classification process will be described later.

  Here, the body temperature classification process (S204) will be described. FIG. 15 is a flowchart of the body temperature classification process. When the heart rate classification process which is S203 of the acquisition external information determination process is completed, the body temperature classification process of S204 is started.

  When the body temperature classification process is started, the body temperature stored in the standard value body information table 302 of the RAM 400 is calculated from the body temperature measured value (measured value of the contact temperature sensor 14) stored in the body sensor second buffer area 402. The standard value is subtracted and the body temperature difference Y is calculated (S2401).

  And it is judged whether the difference Y of body temperature is -1 or less (S2402). When the body temperature difference Y is −1 or less (S2402: YES), 1 is set to the variable TEMP (S2406), the body temperature classification process is terminated, and the process returns to the acquired external information determination process. If the body temperature difference Y is not -1 or less (S2402: NO), it is determined whether the body temperature difference Y is -0.5 or less (S2403).

  If the body temperature difference Y is −0.5 or less (S2403: YES), the variable TEMP is set to 2 (S2407), the body temperature classification process is terminated, and the process returns to the acquired external information determination process. If the body temperature difference Y is not −0.5 or less (S2403: NO), it is determined whether the body temperature difference Y is 0.5 or less (S2404).

  If the body temperature difference Y is 0.5 or less (S2404: YES), 3 is set to the variable TEMP (S2408), the body temperature classification process is terminated, and the process returns to the acquired external information determination process. If the body temperature difference Y is not 0.5 or less (S2404: NO), it is determined whether the body temperature difference Y is 1 or less (S2405).

  If the body temperature difference Y is 1 or less (S2405: YES), the variable TEMP is set to 4 (S2409), the body temperature classification process is terminated, and the process returns to the acquired external information determination process. When the body temperature difference Y is not 1 or less (S2404: NO), the variable TEMP is set to 5 (S2410), the body temperature classification process is terminated, and the process returns to the acquired external information determination process.

  After the CPU 21 sets the variable TEMP by the body temperature classification process, the variable SWEAT is set by the sweating amount classification process (S205).

  Here, the sweating amount classification process (S205) will be described. FIG. 16 is a flowchart of the sweating amount classification process. When the heart rate classification process which is S204 of the acquired external information determination process is completed, the sweating amount classification process of S205 is started.

  When the sweating amount classification process is started, the sweating amount stored in the standard value biological information table 302 of the RAM 400 from the measurement value of the sweating amount (measured value of the sweating sensor 15) stored in the biological sensor second buffer area 402 is started. The standard value of the amount is subtracted, and the difference Z of sweating amount is calculated (S2501).

  Then, it is determined whether or not the difference Z in perspiration amount is 3 or less (S2502). If the difference Z in perspiration amount is 3 or less (S2502: YES), 1 is set in the variable SWEAT (S2506), the perspiration amount classification process is terminated, and the process returns to the acquired external information determination process. If the difference Z in perspiration amount is not 3 or less (S2502: NO), it is determined whether the difference Y in perspiration amount is 6 or less (S2503).

  When the difference Z in sweating amount is 6 or less (S2503: YES), 2 is set in the variable SWEAT (S2507), the sweating amount classification process is terminated, and the process returns to the acquired external information determination process. When the difference Z in perspiration amount is not 6 or less (S2503: NO), it is determined whether or not the difference Z in perspiration amount is 10 or less (S2504).

  If the difference Z in perspiration amount is 10 or less (S2504: YES), 3 is set in the variable SWEAT (S2508), the perspiration amount classification process is terminated, and the process returns to the acquired external information determination process. If the difference Z in perspiration amount is not 10 or less (S2504: NO), it is determined whether or not the difference Z in perspiration amount is 15 or less (S2505).

  If the difference Z in perspiration amount is 15 or less (S2505: YES), 4 is set in the variable SWEAT (S2509), the perspiration amount classification process is terminated, and the process returns to the acquired external information determination process. If the difference Z in perspiration amount is not 15 or less (S2504: NO), 5 is set in the variable SWEAT (S2510), the perspiration amount classification process is terminated, and the process returns to the acquired external information determination process.

  After the sweating amount classification process, the biological state inference value is calculated based on the three variables HR, TEMP, and SWEAT set in S203 to S205 and the biological state table 303 stored in the hard disk 300, and the biological state of the RAM 400 The inference value storage area 403 is stored (S206).

  Here, the biological state is “excited” (the biological state inference value is 1) when HR is 4 to 5, TEMP is 2 to 4, and SWEAT is 4 to 5. The biological state is “hungry” (the biological state inference value is 2) when HR is 2, TEMP is 2, and SWEAT is 2. The biological state is “sleepy” (the biological state inference value is 3) when HR is 2, TEMP is 3, and SWEAT is 1. When the combination of the three variables does not correspond to any of the above, the biological state is “normal” (the biological state inference value is 0).

  When the biological state inference value storage area 403 of the RAM 400 stores the biological state inference value, the CPU 21 determines whether or not the biological state inference value stored in the biological state inference value storage area 403 of the RAM 400 is 1 or more. (S207). When the biological state inference value is not 1 or more, that is, when the biological state is determined to be “normal” (S207: NO), the process proceeds to S5 of the main process, and it is determined whether or not the power is turned off. If the power is not turned off (S5: YES), the process returns to S2 as described above. That is, as long as it is determined that the biological state is “normal” (the biological state inference value is 0), this processing is repeated, and thus processing for acquiring external information from the external database 50 is not performed.

  When the biological state inference value is 1 or more (S207: YES), the biological state inference value stored in the biological state inference value storage area 403 and the acquired external information determination table 304 stored in the hard disk 300 are included. Based on this, external information to be acquired from the external database 50 is determined (S208).

  As described above, in the acquired external information determination table 304 illustrated in FIG. 9, when the biological state is “excited” (the biological state inference value is 1), the information A is associated. When the biological state is “hungry” (the biological state inference value is 2), the information E is associated. Then, in the case of the biological state “sleepy” (the biological state inference value is 3), the information J is associated.

  Therefore, when the biological state inference value stored in the biological state inference value storage area 403 is 1, information A is determined as external information acquired from the external database 50. Further, when the biological state inference value stored in the biological state inference value storage area 403 is 2, the information E is determined as external information acquired from the external database 50. When the biological state inference value stored in the biological state inference value storage area 403 is 3, information J is determined as the external information acquired from the external database 50.

  Thus, when the external information acquired from the external database 50 is determined in S208, the process returns to the main process and the next external information acquisition process (S3) is started. Hereinafter, the external information determined to be acquired in S208 is referred to as acquired external information.

  Next, the external information acquisition process (FIG. 11, S3) performed in the main process will be described. FIG. 17 is a flowchart of the external information acquisition process.

  When the acquisition external information determination process in S2 of the main process ends, the external information acquisition process (S3) is started. When the external information acquisition process is started, first, in order to receive the acquired external information determined to be acquired from the external database 50 in the above-described acquired external information determination process, the external database 50 is requested to acquire the acquired external information. Is transmitted (S301). The external database 50 that has received the acquisition request for acquired external information transmits the acquired external information to the CPU 21 of the mobile phone 1.

  After transmitting the acquisition request for acquired external information, the CPU 21 receives the acquired external information from the external database 50 (S302).

  When the acquired external information is received from the external database 50, the CPU 21 stores the received acquired external information in the external information temporary storage area 404 of the RAM 400 (S303).

  Thus, when the acquired external information is stored in the external information temporary storage area 404 in S303, the process returns to the main process and the next external information display process (S4) is started.

  Next, the external information display process (FIG. 11, S4) performed in the main process will be described. FIG. 18 is a flowchart of the external information display process.

  When the external information acquisition process of S3 of the main process is completed, the external information display process (S4) is started. When the external information display process is started, first, a display selection screen is displayed on the display 2 for allowing the user to select whether or not to display the acquired external information stored in the external information temporary storage area 404 in the external information acquisition described above. (S401). FIG. 19 shows an example of this browsing selection screen. Thereby, the user can know that the mobile phone 1 has received the external information from the external database 50, and the user operates the multi-button 4 of the key input unit 38 to select whether or not to browse the external information. can do.

  After displaying the browsing selection screen on the display 2, the CPU 21 determines whether or not an operation for browsing is performed by the multi button 4 (S402).

  If it is determined that the operation for which browsing is desired has not been performed (S402: NO), the external information display process is terminated and the process returns to the main process.

  When it is determined that an operation for which browsing is desired has been performed (S402: YES), the acquired external information stored in the external information temporary storage area 404 is displayed on the display 2 (S403). When the user operates the multi button 4 to end the display, the CPU 21 displays a save selection screen on the display 2 that allows the user to select whether to save the acquired external information (S404). FIG. 20 shows an example of the save selection screen.

  Then, the CPU 21 determines whether or not an operation for saving has been performed by the multi button 4 (S405). When it is determined that the operation for saving is not performed by the multi button 4 (S405: NO), the process returns to the main process.

  When an operation for saving is performed by the multi button 4 (S405: YES), the acquired external information is stored in the external information storage area 301 of the hard disk 300 (S406), and the process returns to the main process.

  In the first embodiment, the display 2 corresponds to a “display unit”. The contact temperature sensor 13, heart rate sensor 14, and sweat sensor 15 correspond to “measuring means”. The CPU 21 that performs measurement value acquisition processing corresponds to “measurement value acquisition means”. The CPU 21 that executes the acquisition external information determination process in S2 of the main process corresponds to the “inference means”. The CPU 21 that executes the external information acquisition process of S3 of the main process corresponds to an “information acquisition unit”. The CPU 21 that executes the external information display process of S4 of the main process corresponds to “acquired information display control means”.

  Next, a second embodiment will be described. In addition, about 2nd Embodiment, the thing similar to what was demonstrated in 1st Embodiment is demonstrated using the same code | symbol as 1st Embodiment, Here, carrying of 1st Embodiment is carried out. Only the parts different from the telephone 1 will be described.

  First, the mobile phone 100 of the second embodiment will be described. FIG. 21 is a block diagram showing an electrical configuration of the mobile phone 100. The appearance of the mobile phone 100 is the same as that of the mobile phone 1 of FIG.

  As shown in FIG. 21, the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor 15 of the first embodiment are not connected to the CPU 21 of the mobile phone 100. An I / F circuit 42 that receives a signal from the arranged environmental information measuring device 44 is connected. The environmental information measuring device 44 is disposed everywhere the user lives. The I / F circuit 42 receives a signal from the environment information measuring device 44 closest to the mobile phone 100 among the plurality of environment information measuring devices 44 arranged in the user's living space. Thereby, the cellular phone 100 can acquire environmental information around the cellular phone 100.

  The environmental information detection device 44 includes a temperature sensor 51 that measures ambient temperature, a humidity sensor 52 that measures ambient humidity, an illuminance sensor 53 that measures ambient illuminance, and a sound sensor 54 that measures ambient sound. ing. A temperature sensor 51, a humidity sensor 52, an illuminance sensor 53, and a sound sensor 54 are connected to the I / F circuit 43. The I / F circuit 43 transmits and receives signals to and from the I / F circuit 42 of the mobile phone 100.

  Next, the hard disk 310 and the RAM 410 of the mobile phone 100 will be described. FIG. 22 is a schematic diagram showing the configuration of the hard disk 310. FIG. 23 is a schematic diagram showing the configuration of the environmental state table 312 used when determining the external information to be acquired. FIG. 24 shows the acquired external information determination table used when determining the external information to be acquired. 3 is a schematic diagram illustrating a configuration of 313. FIG.

  First, the hard disk 310 shown in FIG. 22 will be described. The hard disk 310 stores information used by the mobile phone 100. For example, an external information storage area 301, an environment state table 312 and an acquired external information determination table 313 are provided.

  Here, the external information storage area 301 will be described. Similar to the external information storage area 301 of the first embodiment, the external information storage area 301 stores external information acquired from the external database 50, and the user can store the external information stored in the external information storage area 301. External information can be displayed on the display 2 by calling.

  Next, the environment state table 312 shown in FIG. 23 will be described. In the environmental state table 312, the “environment state” and the value of “TEMP2”, “HUMID”, “LIGHT”, and “VOL”, which are variables obtained in the acquisition external information determination process described later, are described. It is memorized.

  Note that “TEMP2” obtained in the acquired external information determination process described later is a variable that is set based on the measured value from the temperature sensor 51. In addition, “HUMID” obtained in the acquired external information determination process described later is a variable set based on the measurement value from the humidity sensor 52. Further, “LIGHT” obtained in the acquisition external information determination process described later is a variable set based on the measurement value from the illuminance sensor 53. Further, “VOL” obtained in the acquisition external information determination process described above is a variable set based on the measurement value from the sound sensor 54.

  In the second embodiment, it is assumed that four states of “environmental state” are “outdoors of sultry daytime”, “noisy room”, “cold night”, and “normal”. The environment state table 312 illustrated in FIG. 22 includes variables “TEMP2”, “HUMID”, “LIGHT”, and “VOL” corresponding to three states of “sultry daytime outdoors”, “noisy room”, and “cold night”. Are associated with each other.

  In the environmental state table 312 shown in FIG. 23, when the value of TEMP2 is 5, the value of HUMID is 4, and the value of LIGHT is 4 to 5, the outdoor state “sultry daytime outdoors” is associated. . When TEMP2 is 3 to 4, HUMID is 2 to 3, LIGHT is 2 to 3, and VOL is 5, the environmental state “noisy room” is associated. Further, when TEMP2 is 1 to 2 and LIGHT is 1 to 2, an environmental state “cold night” is associated. In the acquired external information determination process described later, if the combination of the four variables does not correspond to any of the above, “normal” is set. For this reason, “normal” is not described in the environmental state table 312.

  Then, “1” for “sultry daytime outdoors”, “2” for “noisy room”, and “3” for “cold night” as inference values for environmental conditions, which are values indicating each “biological state”. It has been. “Normal” is associated with “0”. The environmental state inference value is used in the acquired external information determination process described later.

  Next, the acquired external information determination table 313 shown in FIG. 24 will be described. The acquired external information determination table 313 stores which external information is to be acquired from the plurality of external information stored in the external database 50 in the case of each biological state.

  In the example illustrated in FIG. 23, when the environmental state is “outdoors of sultry daytime” (the environmental state inference value is 1), the information H is associated. When the environmental state is “noisy room” (the environmental state inference value is 2), the information I is associated. In the case of the environmental state “cold night” (the environmental state inference value is 3), the information F is associated.

  Thereby, when the environmental condition is “outdoors of sultry daytime” (the environmental condition inference value is 1), the information H is acquired from the external database 50 to the RAM 410 in the external information acquisition process described later, and the external information display described later is displayed. The content of the information H is displayed on the display 2 by the processing. When the environmental state is “noisy room” (environmental state inference value is 2), the information I is acquired from the external database 50 to the RAM 410 and the content of the information I is displayed on the display 2. When the environmental state is “cold night” (environmental state inference value is 3), the information F is acquired from the external database 50 to the RAM 410 and the content of the information F is displayed on the display 2.

  FIG. 25 is a schematic diagram showing the configuration of the RAM 410. The RAM 410 includes an environmental sensor first buffer area 408, an environmental sensor second buffer area 409, an environmental state inference value storage area 406, an external information temporary storage area 404, and a work area 405.

  The environmental state inference value storage area 406 is an area for storing an environmental state inference value calculated by an acquisition external information determination process described later.

  Next, processing for acquiring external information from the external database 50 in the second embodiment will be described. Since the flow of the main process is the same as that of the first embodiment, it can be described using the flowchart of FIG. Hereinafter, description of the same processing as in the first embodiment will be omitted.

  Here, the measurement value acquisition process in the second embodiment will be described. FIG. 26 is a flowchart of the measurement value acquisition process in the second embodiment.

  First, the environment information detection device 44 will be described. When each sensor of the environmental information detection device 44 measures each measured value, the measured value is immediately transmitted to the CPU 21 via the I / F circuit 43 and the I / F circuit 42.

  Here, the interval at which the environmental information detection device 44 transmits the measurement values from the sensors to the CPU 21 is a predetermined interval (for example, an interval of 5 seconds).

  Such an environment information detection device 44 is disposed everywhere the user lives, and the I / F circuit 42 of the mobile phone 100 is a signal from the environment information detection device 44 disposed in the nearest place. Receive.

  As shown in FIG. 26, when the measurement value acquisition process is started, the CPU 21 determines whether or not to receive a measurement value from each sensor of the environmental information detection device 44 (S121). When the measurement value is not received (S121: NO), the process waits until the measurement value is received. When the measured value is received (S121: YES), the measured value is stored in the environmental sensor first buffer area 408 of the RAM 410 (S122).

  When the measured values are stored in the environmental sensor first buffer area 408, the CPU 21 determines whether or not the measured values from all the sensors are stored in the environmental sensor first buffer area 408 of the RAM 410 (S123). When the measured values of all the sensors are not stored (S123: NO), the process returns to S121. When the measurement values of all the sensors are stored (S123: YES), the measurement values from each sensor stored in the environmental sensor first buffer area 408 are stored in the environmental sensor second buffer area 409 (S124). ). At this time, the CPU 21 sets a flag indicating that the environment sensor second buffer area 409 has been updated in the work area 405.

  Thereafter, all the measurement values from each sensor stored in the environmental sensor first buffer area 408 are deleted (S125), and the process returns to S121 and waits until the measurement values from each sensor are received again.

  Next, acquired external information determination processing (FIG. 11, S2) in the second embodiment will be described. FIG. 27 is a flowchart of acquired external information determination processing in the second embodiment.

  After the measurement value acquisition process is activated in S1 of the main process, the acquisition external information determination process (S2) is started. When the acquisition external information determination process is started, first, the environmental state inference value storage area 406 of the RAM 410 is initialized (S221). The initialization here is to erase all data stored in the environmental state inference value storage area 406 of the RAM 410.

  When the environmental state inference value storage area 406 of the RAM 410 is initialized, it is determined whether or not the environmental sensor second buffer area 409 of the RAM 410 has been updated by S124 (see FIG. 26) of the measurement value acquisition process (S222). If the work area 405 is flagged, it is determined that the environmental sensor second buffer area 409 has been updated. If the environmental sensor second buffer area 409 has not been updated (S222: NO), the process waits until the environmental sensor second buffer area 409 is updated. If the environmental sensor second buffer area 409 has been updated, the flag of the work area 405 is returned to 0 (S222: YES), and the above-described variable TEMP2 is set by the temperature classification process (S223).

  Here, the temperature classification process (S223) will be described. FIG. 28 is a flowchart of the temperature classification process. In S222 of the acquisition external information determination process, when it is determined that the environmental sensor second buffer area 409 has been updated (S222: YES), the temperature classification process of S223 is started.

  When the temperature classification process is started, it is determined whether or not the measured temperature value (measured value of the temperature sensor 51) stored in the environmental sensor second buffer area 409 is 0 ° C. or less (S2321). When the measured temperature value is 0 ° C. or less (S2321: YES), 1 is set to the variable TEMP2 (S2325), the temperature classification process is terminated, and the process returns to the acquired external information determination process. If the measured temperature value is not 0 ° C. or lower (S2321: NO), it is determined whether the measured temperature value is 10 ° C. or lower (S2322).

  If the measured temperature value is 10 ° C. or less (S2322: YES), 2 is set in the variable TEMP2 (S2326), the temperature classification process is terminated, and the process returns to the acquired external information determination process. If the measured temperature value is not 10 ° C. or lower (S2322: NO), it is determined whether the measured temperature value is 20 ° C. or lower (S2323).

  If the measured temperature value is 20 ° C. or lower (S2323: YES), 3 is set in the variable TEMP2 (S2327), the temperature classification process is terminated, and the process returns to the acquired external information determination process. If the measured temperature value is not 20 ° C. or lower (S2323: NO), it is determined whether the measured temperature value is 30 ° C. or lower (S2324).

  If the measured temperature value is 30 ° C. or lower (S2324: YES), 4 is set in the variable TEMP2 (S2328), the temperature classification process is terminated, and the process returns to the acquired external information determination process. If the measured temperature value is not 30 or less (S2324: NO), 5 is set in the variable TEMP2 (S2329), the temperature classification process is terminated, and the process returns to the acquired external information determination process.

  Returning to the main process, the CPU 21 sets the variable TEMP2 by the temperature classification process, and then sets the variable HUMID by the humidity classification process (S224).

  Here, the humidity classification process (S224) will be described. FIG. 29 is a flowchart of the humidity classification process. When the temperature classification process which is S223 of the acquisition external information determination process is completed, the humidity classification process of S224 is started.

  When the humidity classification process is started, it is determined whether or not the humidity measurement value (measurement value of the humidity sensor 52) stored in the environmental sensor second buffer area 409 is 20% or less (S2421). If the measured humidity value is 20% or less (S2421: YES), 1 is set in the variable HUMID (S2425), the humidity classification process is terminated, and the process returns to the acquired external information determination process. If the humidity measurement value is not 20% or less (S2421: NO), it is determined whether the humidity measurement value is 40% or less (S2422).

  If the measured humidity value is 40% or less (S2422: YES), 2 is set in the variable HUMID (S2426), the humidity classification process is terminated, and the process returns to the acquired external information determination process. If the measured humidity value is not 40% or less (S2422: NO), it is determined whether the measured humidity value is 60% or less (S2423).

  If the measured humidity value is 60% or less (S2423: YES), 3 is set in the variable HUMID (S2427), the humidity classification process is terminated, and the process returns to the acquired external information determination process. If the measured humidity value is not 60% or less (S2423: NO), it is determined whether the measured humidity value is 80% or less (S2424).

  If the measured humidity value is 80% or less (S2424: YES), 4 is set in the variable HUMID (S2428), the humidity classification process is terminated, and the process returns to the acquired external information determination process. If the measured humidity value is not 80% or less (S2423: NO), the variable HUMID is set to 5 (S2429), the humidity classification process is terminated, and the process returns to the acquired external information determination process.

  After the CPU 21 sets the variable HUMID through the humidity classification process, the variable LIGHT described above is set through the illuminance classification process (S225).

  Here, the illumination classification process (S225) will be described. FIG. 30 is a flowchart of the illuminance classification process. When the humidity classification process that is S224 of the acquired external information determination process is completed, the illuminance classification process of S225 is started.

  When the illuminance classification process is started, it is determined whether or not the illuminance measurement value (measurement value of the illuminance sensor 53) stored in the environmental sensor second buffer area 409 is 3 lx or less (S2521). When the measured value of illuminance is 3 lx or less (S2521: YES), 1 is set to the variable LIGHT (S2525), the illuminance classification process is terminated, and the process returns to the acquired external information determination process. When the measured value of illuminance is not 3 lx or less (S2521: NO), it is determined whether or not the measured value of illuminance is 500 lx or less (S2522).

  If the measured value of illuminance is 500 lx or less (S2521: YES), 2 is set in the variable LIGHT (S2526), the illuminance classification process is terminated, and the process returns to the acquired external information determination process. When the measured value of illuminance is not 500 lx or less (S2521: NO), it is determined whether or not the measured value of illuminance is 5000 lx or less (S2523).

  If the measured value of illuminance is 5000 lx or less (S2523: YES), 3 is set in the variable LIGHT (S2527), the illuminance classification process is terminated, and the process returns to the acquired external information determination process. When the measured value of illuminance is not 5000 lx or less (S2523: NO), it is determined whether or not the measured value of illuminance is 50000 lx or less (S2524).

  If the measured value of illuminance is 50000 lx or less (S2524: YES), 4 is set in the variable LIGHT (S2528), the illuminance classification process is terminated, and the process returns to the acquired external information determination process. If the measured value of illuminance is not less than 50000 lx (S2524: NO), the variable LIGHT is set to 5 (S2529), the illuminance classification process is terminated, and the process returns to the acquired external information determination process.

  After the CPU 21 sets the variable LIGHT by the illuminance classification process, the variable VOL is set by the volume classification process (S226).

  Here, the volume classification process (S226) will be described. FIG. 31 is a flowchart of volume classification processing. When the illuminance classification process that is S225 of the acquired external information determination process is completed, the volume classification process of S226 is started.

  When the sound volume classification process is started, it is determined whether or not the sound volume measurement value (measurement value of the sound volume sensor 54) stored in the environmental sensor second buffer area 409 is 10 db or less (S2621). If the measured value of the volume is 10 db or less (S2621: YES), 1 is set to the variable VOL (S2625), the volume classification process is terminated, and the process returns to the acquired external information determination process. When the measured value of the volume is not 10 db or less (S2621: NO), it is determined whether the measured value of the volume is 40 db or less (S2622).

  If the measured value of the volume is 40 db or less (S2622: YES), 2 is set in the variable VOL (S2626), the volume classification process is terminated, and the process returns to the acquired external information determination process. If the measured value of the volume is not 40 db or less (S2622: NO), it is determined whether the measured value of the volume is 70 db or less (S2623).

  If the measured value of the volume is 70 db or less (S2623: YES), 3 is set to the variable VOL (S2627), the volume classification process is terminated, and the process returns to the acquired external information determination process. If the measured value of the volume is not 70 db or less (S2623: NO), it is determined whether the measured value of the volume is 100 db or less (S2624).

  If the measured value of the volume is 100 db or less (S2624: YES), 4 is set in the variable VOL (S2628), the volume classification process is terminated, and the process returns to the acquired external information determination process. If the measured value of the volume is not less than 100 db (S2623: NO), 5 is set in the variable VOL (S2629), the volume classification process is terminated, and the process returns to the acquired external information determination process.

  After the volume classification processing, the environmental state inference value is calculated based on the three variables TEMP2, HUMID, LIGHT, and VOL set in S223 to S226, and the environmental state table 312 stored in the hard disk 310, and the environment of the RAM 410 is calculated. The state inference value storage area 406 is stored (S227).

  Here, the environmental state becomes “sultry daytime outdoor” (environmental state inference value is 1) when TEMP2 is 5, HUMID is 4, and LIGHT is 4-5. The environmental state becomes “noisy room” (environmental state inference value is 2) when TEMP2 is 2-4, HUMID is 2-3, LIGHT is 2-3, and VOL is 5. The environmental state becomes “cold night” (environmental state inference value is 3) when TEMP2 is 1 to 2 and LIGHT is 1 to 2. When the combination of the four variables does not correspond to any of the above, the environmental state is “normal” (the environmental state inference value is 0).

  When the environmental state inference value storage area 406 of the RAM 410 is stored, the CPU 21 determines whether or not the environmental state inference value stored in the environmental state inference value storage area 406 of the RAM 410 is 1 or more. (S228). When the environmental state inference value is not 1 or more, that is, when the environmental state is determined to be “normal” (S228: NO), the process proceeds to S5 of the main process, and it is determined whether or not the power is turned off. If the power is not turned off (S5: YES), the process returns to S2 as described above. That is, as long as it is determined that the environmental state is “normal” (environmental state inference value is 0), this processing is repeated, so that processing for acquiring external information from the external database 50 is not performed.

  When the environmental state inference value is 1 or more (S228: YES), the environmental state inference value stored in the environmental state inference value storage area 406 and the acquired external information determination table 313 stored in the hard disk 310 are included. Based on this, the external information acquired from the external database 50 is determined (S229).

  As described above, in the acquired external information determination table 313 illustrated in FIG. 24, the information H is associated when the environmental state is “outdoors in hot and humid daytime” (the environmental state inference value is 1). When the environmental state is “noisy room” (the environmental state inference value is 2), the information I is associated. In the case of the environmental state “cold night” (the environmental state inference value is 3), the information F is associated.

  Therefore, when the environmental state inference value stored in the environmental state inference value storage area 406 is 1, information H is determined as acquired external information. When the environmental state inference value stored in the environmental state inference value storage area 406 is 2, information I is determined as acquired external information. When the environmental state inference value stored in the environmental state inference value storage area 406 is 3, information F is determined as acquired external information.

  Thus, when the acquisition external information is determined in S229, the process returns to the main process, and the next external information acquisition process (S3) is started.

  Since S3 to S6 of the next main process are the same as those in the first embodiment, description thereof will be omitted.

  In the second embodiment, the display 2 corresponds to a “display unit”. The temperature sensor 51, the humidity sensor 52, the illuminance sensor 53, and the sound sensor 54 correspond to “measuring means”. The CPU 21 that performs measurement value acquisition processing corresponds to “measurement value acquisition means”. The CPU 21 that executes the acquisition external information determination process in S2 of the main process corresponds to the “inference means”. The CPU 21 that executes the external information acquisition process of S3 of the main process corresponds to an “information acquisition unit”. The CPU 21 that executes the external information display process of S4 of the main process corresponds to “acquired information display control means”.

  Next, a third embodiment will be described. Note that in the third embodiment, the same reference numerals are used for the same components as those described in the first embodiment, and here, only the portions different from the cellular phone 1 of the first embodiment are used. explain.

  First, a mobile phone 200 according to the third embodiment will be described. FIG. 32 is a block diagram showing an electrical configuration of the mobile phone 200. The appearance of the mobile phone 200 is the same as that of the mobile phone 1 of FIG.

  As shown in FIG. 32, an I / F circuit 46 is connected to the CPU 21 of the mobile phone 200. The I / F circuit 46 transmits a calling wave for calling the RFID tag 154, receives a reflected wave returned from the RFID tag 154, and reads an identification code of the RFID tag 154 included in the reflected wave. The CPU 21 can acquire the identification code of the RFID tag 154 that has established communication, that is, in the vicinity, by giving an instruction to transmit the calling wave to the I / F circuit 46. The RFID tag 154 is attached to an object around the user of the mobile phone 200. The RFID tag 154 stores an identification code for distinguishing it from other RFID tags. When a call wave from the I / F circuit 46 is received, a reflected wave carrying this identification code is output. Therefore, the mobile phone 200 can acquire information about what exists around the mobile phone 200 by registering in advance the combination of the identification code and the personal items in the mobile phone 200.

  Next, the hard disk 320 of the mobile phone 200 will be described. 33 is a schematic diagram showing the configuration of the hard disk 320, FIG. 34 is a schematic diagram showing the configuration of the identification information table 322, and FIG. 35 is a schematic diagram showing the configuration of the acquired external information determination table 323. .

First, the hard disk 320 will be described with reference to FIG. As shown in FIG. 33, the hard disk 320 is provided with an external information storage area 301, an identification information table 322, an external information determination table 323, and the like. In the identification information table 322, combinations of personal identification items of the user and identification codes of the RFID tag 154 are stored.
The acquisition external information determination table 323 stores external information acquired for each combination condition of items existing around the user.

  Here, the external information storage area 301 will be described. Similar to the external information storage area 301 of the first embodiment, the external information storage area 301 stores external information acquired from the external database 50, and the user can store the external information stored in the external information storage area 301. External information can be displayed on the display 2 by calling.

  The identification information table 322 will be described with reference to FIG. As shown in FIG. 34, the identification information table 322 is provided with a thing column and an identification code column, and the identification code of the RFID tag 154 attached to each item is stored.

  In the example shown in FIG. 34, the identification code of the RFID tag 154 attached to the ticket gate of the station is “97FCE891”, the identification code of the RFID tag 154 attached to the signboard of the restaurant is “B312CE89”, The identification code of the RFID tag 154 attached to the signboard is “99AAB312”, the identification code of the RFID tag 154 attached to the signboard of the convenience store is “89886756F”, and identification of the RFID tag 154 attached to the desk in the classroom The code is “CD6BB560”, the identification code of the RFID tag 154 attached to the classroom blackboard is “D98D21D1”, the identification code of the RFID tag 154 attached to the potato is “000F219A”, and attached to the carrot The identification code of the RFID tag 154 is “19790816. , And the identification code of the RFID tag 154 attached to onion is "19790114", other information is omitted. In FIG. 34, the names of the objects are shown for the sake of clarity, but when they are stored in the identification information table 322, it is only necessary to store a code for identifying the object.

  Next, the acquired external information determination table 323 shown in FIG. 35 will be described. The acquired external information determination table 323 stores combinations of items and acquired external information in association with each other. That is, which external information is to be acquired from among a plurality of external information stored in the external database 50 in the case of a combination of each is stored.

  In the example shown in FIG. 35, when the combination of things is “station ticket gate”, information O is associated. And when the combination of things is a "restaurant sign", the information P is associated. If the combination of things is “bookstore signboard”, the information G is associated. When the combination of things is a “convenience store signboard”, the information M is associated. When the combination of things is “desk” and “blackboard”, information K is associated. When the combination of things is “potato”, “carrot”, and “onion”, information N is associated.

  As a result, when the “station ticket gate” is included in the identification code acquired by the I / F circuit 46, the information O is acquired from the external database 50 to the RAM 420 in the external information acquisition process described later, which will be described later. The content of the information O is displayed on the display 2 in the external information display process.

  Then, when the “restaurant signboard” is included in the identification code acquired by the I / F circuit 46, the information P is acquired from the external database 50 to the RAM 420, and the content of the information P is displayed on the display 2. The

  If the identification code acquired by the I / F circuit 46 includes a “bookstore sign”, the information G is acquired from the external database 50 to the RAM 420, and the information G is stored in the external information display process described later. The contents are displayed on the display 2.

  When the identification code acquired by the I / F circuit 46 includes a “convenience store signboard”, the information M is acquired from the external database 50 to the RAM 420, and the information M is stored in the external information display process described later. The contents are displayed on the display 2.

  When “desk” and “blackboard” are included in the identification code acquired by the I / F circuit 46, the information K is acquired from the external database 50 to the RAM 420, and the information is obtained by external information display processing described later. The contents of K are displayed on the display 2.

  If “potato”, “carrot”, and “onion” are included in the identification code acquired by the I / F circuit 46, the information N is acquired from the external database 50 to the RAM 420, and an external information display described later is performed. The content of the information N is displayed on the display 2 by the processing.

  FIG. 36 is a schematic diagram showing the configuration of the RAM 420. The RAM 420 includes an identification code storage area 407, an external information temporary storage area 404, and a work area 405. Since the external information temporary storage area 404 and the work area 405 are the same as those in the first embodiment, description thereof is omitted.

  The identification code storage area 407 is an area for temporarily storing an identification code acquired by a measurement value acquisition process described later.

  Next, processing for acquiring external information from the external database 50 in the third embodiment will be described. Since the flow of the main process is the same as that of the first embodiment, it can be described using the flowchart of FIG. A description of the same processing as in the first embodiment will be omitted.

  Here, the measurement value acquisition process in the second embodiment will be described. FIG. 37 is a flowchart of the measurement value acquisition process in the third embodiment.

  As shown in FIG. 37, when the measurement value acquisition process is started, the CPU 21 first transmits a call wave for calling the RFID tag 154 (S141). Then, the reflected wave is received from the RFID tag 154 for a predetermined time (for example, 3 seconds), and the identification code included in the received reflected wave is stored in the work area 405 of the RAM 420 (S142). At this time, when there are a plurality of received identification codes, all the received identification codes are stored.

  When all the received identification codes are stored in the work area 405, the process returns to S141 to transmit a call wave for calling the FRID tag 54 again.

  Next, acquired external information determination processing (FIG. 11, S2) in the third embodiment will be described. FIG. 38 is a flowchart of acquired external information determination processing in the third embodiment.

  After the measurement value acquisition process is activated in S1 of the main process, the acquisition external information determination process (S2) is started. When the CPU 21 starts the acquisition external information determination process, it is determined whether or not the identification code storage area 407 of the RAM 420 is updated by S142 (see FIG. 37) of the measurement value acquisition process (S241). The identification code stored in the identification code storage area 407 is compared with the identification code stored in the work area 405, and if they match, it is determined that they have not been updated. If the identification code stored in the identification code storage area 407 and the identification code stored in the work area 405 do not match, it is determined that it has been updated.

  If the identification code storage area 407 has not been updated (S241: NO), the process waits until the identification code storage area 407 is updated. If the identification code storage area 407 has been updated, all the identification codes stored in the work area 405 are copied to the identification code storage area 407 (S241: YES), and all stored in the identification code storage area 407 And the acquired external information determination table 323 stored in the hard disk 320 are compared (S242). All the identification codes stored in the work area 405 are erased when copied to the identification code storage area 407.

  Then, it is determined whether or not there is a combination of those described in the acquired external information determination table 323 among all the acquired identification codes (S243). If there is no combination (No at S243), the process proceeds to S5 of the main process to determine whether the power is turned off. If the power is not turned off (S5: YES), the process returns to S2 as described above.

  If there is a combination of things (S243: YES), the acquired external information acquired from the external database 50 is determined based on the acquired external information determination table 323 (S244).

  As described above, in the acquired external information determination table 323 illustrated in FIG. 35, in the example illustrated in FIG. 35, when the combination of items is “station ticket gate”, the information O is associated. And when the combination of things is a "restaurant sign", the information P is associated. If the combination of things is “bookstore signboard”, the information G is associated. When the combination of things is a “convenience store signboard”, the information M is associated. When the combination of things is “desk” and “blackboard”, information K is associated. When the combination of things is “potato”, “carrot”, and “onion”, information N is associated.

  Therefore, when the acquired identification code includes “station ticket gate”, the information O is determined as acquired external information. When the acquired identification code includes “restaurant signboard”, the information P is determined as acquired external information. If the acquired identification code includes “bookstore signboard”, the information G is determined as acquired external information. When the acquired identification code includes a “convenience store signboard”, the information M is determined as acquired external information. In addition, when “desk” and “blackboard” are included in the acquired identification code, information K is determined as acquired external information. Further, when “potato”, “carrot”, and “onion” are included in the acquired identification code, information N is determined as acquired external information.

  Thus, when the acquisition external information is determined in S244, the process returns to the main process, and the next external information acquisition process (S3) is started.

  Since S3 to S6 of the next main process are the same as those in the first embodiment, description thereof will be omitted.

  In the third embodiment, the display 2 corresponds to a “display unit”. The identification code corresponds to “identification information”. The RFID tag and the I / F circuit 46 correspond to “measuring means”. The CPU 21 that performs measurement value acquisition processing corresponds to “measurement value acquisition means”. The CPU 21 that executes the external information acquisition process of S3 of the main process corresponds to an “information acquisition unit”. The CPU 21 that executes the external information display process of S4 of the main process corresponds to “acquired information display control means”.

  Next, a fourth embodiment will be described. The same reference numerals are used for the same components as those described in the first to third embodiments, and only the parts different from the cellular phone 1 of the first embodiment will be described here.

  First, the mobile phone 290 of the fourth embodiment will be described. FIG. 39 is a block diagram showing an electrical configuration of the mobile phone 290. For the mobile phone 290, the same reference numerals are used for the same members as those of the mobile phones 1, 100, and 200 used in the first to third embodiments, and here, the first embodiment is used. Only parts other than those common to the cellular phones 1, 100, and 200 of the third embodiment will be described. The appearance of the mobile phone 290 is the same as that of the mobile phone 1 of FIG.

  As shown in FIG. 39, a contact temperature sensor 13, a heart rate sensor 14, and a sweat sensor 15 are connected to the CPU 21 of the mobile phone 290. Further, an I / F circuit 42 that receives a signal from the environment information measuring device 44 is connected. In addition, an I / F circuit 46 that transmits a calling wave for calling the RFID tag 154, receives a reflected wave returned from the RFID tag 154, and reads an identification code of the RFID tag 154 included in the reflected wave is connected.

  Therefore, the mobile phone 290 can acquire the biometric information of the user of the mobile phone 290, acquire information on the environment around the mobile phone 290, and the mobile phone 290 can acquire identification information of what is present around the mobile phone 290. .

  Next, the hard disk 330 of the mobile phone 290 will be described. FIG. 40 is a schematic diagram showing the configuration of the hard disk 330. As shown in FIG. 40, the hard disk 330 is provided with an external information storage area 301, a standard value biological information table 302, a biological state table 303, an environmental state table 312, an identification information table 322, an acquired external information determination table 333, and the like. ing.

  The external information storage area 301, the standard value biological information table 302, the biological state table 303, the environmental state table 312 and the identification information table 322 are the same as those in the above-described embodiment, and thus description thereof is omitted.

  The acquired external information determination table 333 will be described. FIG. 41 shows the acquired external information determination table 333. In the fourth embodiment, the biological state (biological state inference value) determined by the user's biological information, the environmental state (environmental state inference value) determined by the environmental information around the mobile phone 290, and the mobile phone Which external information is to be acquired from the external database 50 is stored according to a combination of things around the telephone 290.

  In the example shown in FIG. 41, the biological state is “hungry” (the biological state inference value is 2), the environmental state is “outdoors in a hot and humid day” (the environmental state inference value is 1), and the combination of things is “restaurant” In the case of “signboard”, information Q is associated.

  In addition, when the biological state is “excited” (the biological state inference value is 1), the environmental state is “cold night” (the environmental state inference value is 3), and the combination of things is “rental video store” , Information R is associated.

  In addition, the biological state is “hungry” (biological state inference value is 2), the environmental state is “cold night” (environmental state inference value is 3), and the combination of things is “potato”, “carrot” and “onion” "Is associated with the information S.

  Also, when the biological state is “sleepy” (biological state inference value is 3), the environmental state is “sultry daytime outdoors” (environmental state inference value is 1), and the combination of things is “convenience store signboard” Is associated with information T.

  Next, the RAM 430 of the mobile phone 290 will be described. FIG. 42 is a schematic diagram showing the configuration of the RAM 430. As shown in FIG. 42, the RAM 430 includes a biosensor first buffer area 401, a biosensor second buffer area 402, a biometric state inference value storage area 403, an external information temporary storage area 404, a work area 405, and an environmental state inference value. A storage area 406, an identification code storage area 407, an environmental sensor first buffer area 408, and an environmental sensor second buffer area 409 are provided.

  Biosensor first buffer area 401, biosensor second buffer area 402, biological state inference value storage area 403, external information temporary storage area 404, work area 405, environmental state inference value storage area 406, identification code storage area 407, environment Since the sensor first buffer area 408 and the environment sensor second buffer area 409 are the same as those described in the above-described embodiment, the description thereof is omitted.

  Next, processing for acquiring external information from the external database 50 in the fourth embodiment will be described. Since the flow of the main process is the same as that of the first embodiment, it can be described using the flowchart of FIG. A description of the same processing as in the first embodiment will be omitted.

  The measurement value acquisition process in S1 of the main process is activated. The measurement value acquisition process activated at this time is performed by the three measurement value acquisition processes described in the first to third embodiments. It is activated.

  That is, all the measurement value acquisition processes shown in FIGS. 12, 26, and 37 are started. Therefore, when these measurement value acquisition processes are executed by the CPU 21, the measurement values acquired from the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor are stored in the biosensor second buffer area 402 of the RAM 430, and environmental information measurement is performed. The measurement value acquired from the device 44 is stored in the environmental sensor second buffer area 409 of the RAM 430, and the measurement value (identification code) acquired from the RFID tag 154 is stored in the identification code storage area 407.

  Next, acquired external information determination processing (FIG. 11, S2) in the fourth embodiment will be described. FIG. 43 is a flowchart of acquired external information determination processing in the fourth embodiment.

  When the acquired external information determination process in the fourth embodiment shown in FIG. 43 is started, first, the biological state inference value is calculated based on the measurement values acquired from the heart rate sensor 14 and the sweat sensor by the biological state inference process. The biological state inference value storage area 403 of the RAM 430 is stored (S261).

  The biological state inference process is the same as the process from S201 to S207 in the flowchart shown in FIG.

Next, the environmental state inference value is calculated based on the measurement value acquired from the environmental information measuring device 44 by the environmental state inference process, and is stored in the environmental state inference value storage area 406 of the RAM 430 (S262).
The environmental state inference process is the same as the process from S221 to S228 in the flowchart shown in FIG.

  Next, it is determined whether or not the identification code storage area 407 of the RAM 430 has been updated by S142 (see FIG. 37) of the measurement value acquisition process (S263). If the identification code storage area 407 has not been updated (S263: NO), the process waits until the identification code storage area 407 is updated. When the identification code storage area 407 has been updated (S263: YES), all the identification codes stored in the identification code storage area 407 are compared with the acquired external information determination table 333 stored in the hard disk 330. (S264).

  Then, it is determined whether there is a combination of all the identification codes that are described in the acquired external information determination table 333 (S265). If there is no combination (No at S265), the process proceeds to S5 of the main process to determine whether or not the power is turned off. If the power is not turned off (S5: YES), the process returns to S2 as described above.

  If there is a combination of things (S265: YES), the acquired external information to be acquired from the external database 50 is determined based on the acquired external information determination table 333 (S266).

  In the acquired external information determination table 333 shown in FIG. 41, the biological state is “hungry” (biological state inference value is 2), the environmental state is “sultry daytime outdoors” (environmental state inference value is 1), When the combination is “restaurant signboard”, the information Q is associated.

  In addition, when the biological state is “excited” (the biological state inference value is 1), the environmental state is “cold night” (the environmental state inference value is 3), and the combination of things is “rental video store” , Information R is associated.

  In addition, the biological state is “hungry” (biological state inference value is 2), the environmental state is “cold night” (environmental state inference value is 3), and the combination of things is “potato”, “carrot” and “onion” "Is associated with the information S.

  Also, when the biological state is “sleepy” (biological state inference value is 3), the environmental state is “sultry daytime outdoors” (environmental state inference value is 1), and the combination of things is “convenience store signboard” Is associated with information T.

  Therefore, the biological state is “hungry” (biological state inference value is 2), the environmental state is “outdoors in hot and humid daytime” (environmental state inference value is 1), and the combination of things is “restaurant signboard” In this case, information Q is determined as acquired external information.

  In addition, when the biological state is “excited” (the biological state inference value is 1), the environmental state is “cold night” (the environmental state inference value is 3), and the combination of things is “rental video store” Information R is determined as acquired external information.

  In addition, the biological state is “hungry” (biological state inference value is 2), the environmental state is “cold night” (environmental state inference value is 3), and the combination of things is “potato”, “carrot” and “onion” ", The information S is determined as acquired external information.

  Also, when the biological state is “sleepy” (biological state inference value is 3), the environmental state is “sultry daytime outdoors” (environmental state inference value is 1), and the combination of things is “convenience store signboard” The information T is determined as acquired external information.

  Thus, when the acquisition external information is determined in S266, the process returns to the main process, and the next external information acquisition process (S3) is started.

  Since S3 to S6 of the next main process are the same as those in the first embodiment, description thereof will be omitted.

  In the fourth embodiment, the display 2 corresponds to a “display unit”. The identification code corresponds to “identification information”. The contact temperature sensor 13, heart rate sensor 14, sweat sensor 15, temperature sensor 51, humidity sensor 52, illuminance sensor 53, sound sensor 54, RFID tag 154 and I / F circuit 46 correspond to “measuring means”. The CPU 21 that performs measurement value acquisition processing corresponds to “measurement value acquisition means”. The CPU 21 that executes the external information acquisition process of S3 of the main process corresponds to an “information acquisition unit”. The CPU 21 that executes the external information display process of S4 of the main process corresponds to “acquired information display control means”.

  Next, a fifth embodiment of the present invention will be described. In addition, about 5th Embodiment, the thing similar to what was demonstrated in 1st Embodiment is demonstrated using the same code | symbol as 1st Embodiment, and here is 1st Embodiment. Only the different parts will be described.

  First, a mobile phone 600 according to the fifth embodiment will be described. FIG. 44 is a block diagram showing an electrical configuration of the mobile phone 100. The appearance of the mobile phone 100 is the same as that of the mobile phone 1 of FIG.

  As shown in FIG. 44, the mobile phone 600 acquires external information from the external database 150. In addition, a GPS receiver 144 that receives radio waves from GPS satellites, a hard disk 350, and a RAM 450 are connected to the CPU 21 of the mobile phone 600.

  FIG. 45 is an explanatory diagram for explaining external information stored in the external database 150. As shown in FIG. 45, all external information stored in the external database 150 is classified for each arbitrarily set category such as “event”, “gourmet”, “hotel”, “shopping”, etc. . Furthermore, the external information classified for each category is also classified for each prefecture as regional information.

  For example, event information A that introduces an event to be held in Hokkaido is classified into the “event” category and the prefecture of “Hokkaido”. In addition, the gourmet information K that introduces a restaurant where you can eat delicious Morioka cold noodles in Iwate Prefecture is classified into the category of “Gourmet” and the prefecture of “Iwate”.

  The GPS receiver 144 receives position information, which is information on the prefecture where the mobile phone 600 exists, from a GPS satellite. For example, when the mobile phone 600 exists in Hokkaido, information indicating “Hokkaido” is received.

  The configuration of the hard disk 350 will be described. FIG. 46 is a schematic diagram showing the configuration of the hard disk 350. As shown in FIG. 46, the hard disk 350 is provided with an external information storage area 301, a standard value biological information table 302, a biological state table 303, and an acquired external information determination table 354.

  The external information storage area 301, the standard value biometric information table 302, and the biometric state table 303 are the same as those in the first embodiment described above, and a description thereof is omitted.

  The acquired external information determination table 354 will be described. FIG. 47 shows the acquired external information determination table 354. Unlike the first embodiment, each biological state (“excited”, “hungry”, “sleepy”) is associated with a category in which external information is classified.

  For example, in the example shown in FIG. 47, “event” and “shopping” categories are associated with “excitement” of the biological state. In addition, a category of “gourmet” is associated with “hungry” in the biological state. Further, the category of “hotel” is associated with “sleepy” in the biological state.

  The configuration of the RAM 450 will be described. FIG. 48 is a schematic diagram showing the configuration of the RAM 450. As shown in FIG. 48, the RAM 450 includes a biosensor first buffer area 401, a biosensor second buffer area 402, a biometric state inference value storage area 403, an external information temporary storage area 404, a work area 405, and a position information storage. A region 451 is provided.

  The biosensor first buffer area 401, the biosensor second buffer area 402, the biometric state inference value storage area 403, the external information temporary storage area 404, and the work area 405 are the same as those in the first embodiment, and therefore will be described. Omitted.

  The position information storage area 451 is an area for storing position information received by the GPS receiver 144 from a GPS satellite.

  Next, processing for acquiring external information from the external database 150 in the fifth embodiment will be described. Since the flow of the main process is the same as that of the first embodiment, it can be described using the flowchart of FIG. Hereinafter, description of the same processing as in the first embodiment will be omitted.

  The main process S1 is the same as in the first embodiment. In the acquisition external information determination process that is S2 of the next main process, the external information acquired from the external database 50 is determined based on the acquisition external information determination table 304 in the first embodiment, but in the fifth embodiment, Based on the acquired external information determination table 354, the category to which the external information acquired from the external database 150 belongs is determined.

  As described above, in the external information determination table 354, categories of “event” and “shopping” are associated with “excitement” of the biological state. In addition, a category of “gourmet” is associated with “hungry” in the biological state. Further, the category of “hotel” is associated with “sleepy” in the biological state.

  Accordingly, when 1 is calculated as the biological state inference value, the categories “event” and “shopping” are determined as the categories to which the acquired external information belongs. When 2 is calculated as the biological state inference value, the category “gourmet” is determined as the category to which the acquired external information belongs. When 3 is calculated as the biological state inference value, the category “hotel” is determined as the category to which the acquired external information belongs.

  When the category to which the acquired external information belongs is determined in S2, the external information acquisition process in S3 is started.

  Next, the external information acquisition process (FIG. 11, S3) performed in the main process will be described. FIG. 49 shows a flowchart of the external information acquisition process in the fifth embodiment.

  When the acquisition external information determination process in S2 of the main process is completed, the external information acquisition process (S3) is started (see FIG. 49). When the external information acquisition process is started, the CPU 21 acquires position information from the GPS receiver 144 and stores the position information in the position information storage area 451 of the RAM 450 (S351).

  Next, in order to receive the external information classified into the prefecture indicated by the position information stored in the position information storage area 451 of the RAM 450 and classified in the category determined in the acquisition external information determination process described above, An acquisition request for requesting acquisition of external information is transmitted to the database 150 (S352).

  The external database 150 that has received the acquisition request includes external information classified into the prefecture indicated by the location information stored in the location information storage area 451 and classified into the category determined in the acquisition external information determination process. The data is transmitted to the CPU 21 of the mobile phone 1.

  After making an external information acquisition request, the CPU 21 receives the acquired external information from the external database 50 (S353). At this time, if there are a plurality of corresponding acquired external information, all the corresponding acquired external information is received.

  For example, “Hokkaido” is stored as the position information in the position information storage area 451, “excitement” is inferred as the biological state in the acquisition external information determination process described above, and “event” and “external information” are acquired as categories of the external information to be acquired. When “shopping” is determined, the following occurs. From the external database 150, all external information classified as “event” as a category and classified as “Hokkaido” as a prefecture, and classified as “shopping” as a category, and “Hokkaido as a prefecture” The CPU 21 receives all the external information classified as “from the external database 150.

  When the acquired external information is received from the external database 150, it is stored in the external information temporary storage area 404 of the RAM 450, and the CPU 21 creates a list of received external information received for each category and stores this list in the external information temporary storage area 404. (S354). Hereinafter, the created list is referred to as an external information list 800. Furthermore, an acquired category list 700 in which the categories to which the acquired external information belongs is also created and stored in the external information temporary storage area 404 (S354).

  As described above, when the acquired external information is stored in the external information temporary storage area 404 in S354, the process returns to the main process and the next external information display process (S4) is started.

  Next, the external information display process (FIG. 11, S4) performed in the main process will be described. FIG. 50 is a flowchart of external information display processing in the fifth embodiment.

  When the external information display process is started, first, the acquisition category list 700 stored in the external information temporary storage area 404 by the above-described external information acquisition is displayed on the display (S451).

  FIG. 51 shows an example of a screen on which the acquisition category list 700 is displayed. An acquisition category list 700 is displayed at the center of the screen. Then, by operating the multi-button 4, the cursor 900 is displayed on the screen at the same time so that the user can select one of the categories. In addition, an item “do not browse” is also displayed below the acquisition category list 700 so that the user can input that he / she does not wish to browse information.

  After displaying the screen as described above, the CPU 21 determines whether any category in the acquisition category list 700 is selected by the multi button 4 (S452).

  If any category in the acquisition category list 700 is not selected and it is detected that the above-mentioned item “Do not browse” is selected (S452: NO), the process returns to the main process.

  When it is detected that any category in the acquisition category list 700 is selected, the external information list 800 of the selected category is displayed on the display (S453).

  FIG. 52 shows an example of a screen on which the external information list 800 is displayed. An external information list 800 is displayed at the center of the screen. Then, by operating the multi-button 4, the cursor 900 is displayed on the screen at the same time so that the user can select any acquisition information. In addition, an item “Do not browse” is also displayed below the external information list 800 so that the user can input that he / she does not wish to browse the information.

  After displaying the screen as described above, the CPU 21 determines whether any acquired external information in the external information list 800 is selected by the multi button 4 (S454).

  If any acquired external information in the external information list 800 is not selected and it is detected that the above-mentioned “do not browse” item is selected (S454: NO), the process returns to the main process.

  When it is detected that any acquired external information in the external information list 800 is selected, the selected acquired external information is displayed on the display (S455).

  Subsequent processes from S456 to S458 are the same as S404 to S406 in the first embodiment, and a description thereof will be omitted.

  In the fifth embodiment, the display 2 corresponds to a “display unit”. The contact temperature sensor 13, heart rate sensor 14, and sweat sensor 15 correspond to “measuring means”. The CPU 21 that performs measurement value acquisition processing corresponds to “measurement value acquisition means”. The CPU 21 that executes the acquisition external information determination process in S2 of the main process corresponds to the “inference means”. The CPU 21 that executes the external information acquisition process of S3 of the main process corresponds to an “information acquisition unit”. The CPU 21 that executes the external information display process of S4 of the main process corresponds to “acquired information display control means”. The GPS receiver 144 corresponds to “position information acquisition means”. The CPU 21 that creates the acquisition category list 700 and the external information list 800 in S354 of the external information acquisition process corresponds to “list creation means”. The CPU 21 that displays the acquired category list 700 and the external information list 800 on the display 2 in S451 and S453 of the external information display processing corresponds to “list display control means”. The CPU 21 that displays the cursor 900 in S453 of the external information display process and receives a signal indicating which external information is selected in S454 corresponds to “acquired information selection means”.

  Next, a sixth embodiment of the present invention will be described. In the sixth embodiment, the same components as those described in the fifth embodiment will be described using the same reference numerals as those in the fifth embodiment. Here, the fifth embodiment is different from the fifth embodiment. Only the different parts will be described.

  In the fifth embodiment, the position information acquired by the GPS receiver 144 is stored in the position information storage area 451 of the RAM 450, and external information is acquired based on the position information stored in the position information storage area 451. However, in the sixth embodiment, external information is acquired based on position information input by the user through the key input unit 38.

  That is, the position information storage area 351 for storing the position information input by the user with the key input unit 38 is set in the hard disk 350. In S351 of the external information acquisition process (see FIG. 48), the CPU 21 does not acquire the position information from the GPS receiver 144, but acquires the position information from the position information storage area 351 of the hard disk 350, and the position of the RAM 450 The position information is stored in the information storage area 451.

  In the sixth embodiment, the key input unit 38 corresponds to “condition specifying means”.

  The information acquisition apparatus and information acquisition program of the present invention are not limited to the above-described embodiments, and it is needless to say that various changes can be made without departing from the scope of the present invention. In the first to fifth embodiments, a mobile phone is used as the information acquisition device. However, the information acquisition device is not limited to a mobile phone, but is provided in a portable information terminal or a public place. It may be a device such as a terminal or a personal computer.

  In the first embodiment, the standard value biometric information table 302, the biometric state table 303, and the acquired external information determination table 304 are stored in the hard disk 300 in advance. Information table setting means, biological condition table setting means, and acquired external information determination table setting means may be provided. For example, a “standard value biometric information table setting” menu is provided for the operation of the information acquisition apparatus. Then, the user selects the menu in a state in which he is in good physical condition and is calm (a state where he / she is resting and is not breathing). Then, the information acquisition device collects biological information from each biological sensor and stores the value as standard value biological information in the standard value biological table.

  In addition, as the biological state table setting unit and the acquired external information determination table setting unit, a “biological state table setting” menu is provided in the operation of the information acquisition device, and the condition of the biological state name and the value of each biological sensor in that state In this state, an input field for the display order of the list is provided. Then, the user inputs the name of the biological state that suits his / her preference, the condition value of each biological sensor in that state, and the information acquired in that state. When the information acquisition device receives the input, the information acquisition device stores it in the biological state table and the acquisition external information determination table.

  Moreover, in the said embodiment, although the contact temperature sensor 13, the heart rate sensor 14, and the sweat sensor 15 were used as a biosensor, and the temperature sensor 51, the humidity sensor 52, and the optical sensor 53 were used as an environmental sensor, the sensor used as a measurement means is Not limited to this. For example, an optical sensor, a temperature sensor, a humidity sensor, a pressure sensor, or the like may be used as the biological sensor, and a contact temperature sensor, a sweat sensor, a heart rate sensor, a pressure sensor, or the like may be used as the environment sensor.

  In the above embodiment, the list information is acquired as the external information. However, as described in Japanese Patent Application No. 2005-214408, the order of the acquired list may be rearranged.

1 is an external view of a mobile phone 1 in an opened state according to a first embodiment. The bottom view in the state where cellular phone 1 in a 1st embodiment was closed. 1 is a block diagram showing an electrical configuration of a mobile phone 1 according to a first embodiment. Explanatory drawing explaining the external information memorize | stored in the external database 50 in 1st Embodiment. FIG. 2 is a schematic diagram showing a configuration of a hard disk 300 in the first embodiment. The schematic diagram which shows the structure of the external information storage area 301 in 1st Embodiment. The schematic diagram which shows the structure of the standard value biometric information table 302 in 1st Embodiment. The schematic diagram which shows the structure of the biological condition table 303 in 1st Embodiment. The schematic diagram which shows the structure of the acquisition external information determination table 304 in 1st Embodiment. FIG. 2 is a schematic diagram illustrating a configuration of a RAM 400 according to the first embodiment. The flowchart of the main process which CPU21 in 1st Embodiment performs. The flowchart of the measured value acquisition process in 1st Embodiment. The flowchart of the acquisition external information determination process in 1st Embodiment. The flowchart of the heart rate classification | category process in 1st Embodiment. The flowchart of the body temperature classification | category process in 1st Embodiment. The flowchart of the sweating amount classification | category process in 1st Embodiment. The flowchart of the external information acquisition process in 1st Embodiment. The flowchart of the external information display process in 1st Embodiment. The schematic diagram of the browsing selection screen in 1st Embodiment. The schematic diagram of the preservation | save selection screen in 1st Embodiment. The block diagram which shows the electric constitution of the mobile telephone 100 in 2nd Embodiment. The schematic diagram which shows the structure of the hard disk 310 in 2nd Embodiment. The schematic diagram which shows the structure of the environmental condition table 312 in 2nd Embodiment. The schematic diagram which shows the structure of the acquisition external information determination table 313 in 2nd Embodiment. The schematic diagram which shows the structure of RAM410 in 2nd Embodiment. The flowchart of the measured value acquisition process in 2nd Embodiment. The flowchart of the acquisition external information determination process in 2nd Embodiment. The flowchart of the temperature classification process in 2nd Embodiment. The flowchart of the humidity classification process in 2nd Embodiment. The flowchart of the illumination intensity classification process in 2nd Embodiment. The flowchart of the volume classification | category process in 2nd Embodiment. The block diagram which shows the electric constitution of the mobile telephone 200 in 3rd Embodiment. The schematic diagram which shows the structure of the hard disk 320 in 3rd Embodiment. The schematic diagram which shows the structure of the identification information table 322 in 3rd Embodiment. The schematic diagram which shows the structure of the acquisition external information determination table 323 in 3rd Embodiment. The schematic diagram which shows the structure of RAM420 in 3rd Embodiment. The flowchart of the measured value acquisition process in 3rd Embodiment. The flowchart of the acquisition external information determination process in 3rd Embodiment. The block diagram which shows the electric constitution of the mobile telephone 290 in 4th Embodiment The schematic diagram which shows the structure of the hard disk 320 in 4th Embodiment. The schematic diagram which shows the structure of the acquisition external information determination table 333 in 4th Embodiment. The schematic diagram which shows the structure of RAM430 in 4th Embodiment. Flowchart of acquired external information determination process in the fourth embodiment FIG. 9 is a block diagram showing an electrical configuration of a mobile phone 600 according to a fifth embodiment. Explanatory drawing explaining the external information memorize | stored in the external database 150 in 5th Embodiment. FIG. 10 is a schematic diagram illustrating a configuration of a hard disk 350 according to a fifth embodiment. The schematic diagram which shows the structure of the acquisition external information determination table 354 in 5th Embodiment. The schematic diagram which shows the structure of RAM450 in 5th Embodiment. The flowchart of the external information acquisition process in 5th Embodiment. The flowchart of the external information display process in 5th Embodiment. The schematic diagram of the screen which displayed the acquisition category list | wrist 700 in 5th Embodiment. The schematic diagram of the screen which displayed the external information list 800 in 5th Embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1,100,200,290,600 Mobile phone 2 Display 3 Ten key input part 4 Multi button 5 Call start button 6 Call end button 7 Microphone 8 Speaker 9 Power ON button 10 Power OFF button 12 Antenna 13 Contact temperature sensor 14 Heart rate Sensor 15 Sweating sensor 21 CPU
23 ROM
38 Key input unit 42, 43, 45, 46 I / F circuit 44 Environmental information measuring device 50, 150 External database 51 Temperature sensor 52 Humidity sensor 53 Illuminance sensor 54 Sound sensor 144 GPS receiver 154 RFID tag 300, 310, 320 , 330, 350 Hard disk 301 External information storage area 302 Standard value biological table 303 Biological state table 304, 313, 323, 333, 354 Obtained external information determination table 312 Environmental state table 322 Identification information table 400, 410, 420, 430, 450 RAM
401 Biosensor first buffer area 402 Biosensor second buffer area 403 Biological state inference value storage area 404 External information temporary storage area 405 Work area 406 Environmental state inference value storage area 407 Identification code storage area 408 Environment sensor first buffer area 409 Environmental sensor second buffer area 451 Position information storage area 700 Acquisition category list 800 External information list 900 Cursor

Claims (10)

An information acquisition device that acquires predetermined information from an external database,
From one or a plurality of measuring means for measuring at least one of the biological information of the user of the information acquisition device, the information of the environment around the information acquisition device, and the identification information of what exists around the information acquisition device A measurement value acquisition means for acquiring a measurement value;
Information acquisition means for acquiring information from an external database based on the measurement result measured by the measurement means;
An information acquisition apparatus comprising: an acquisition information storage unit that stores the acquisition information acquired by the information acquisition unit. Based on the measurement results measured by the measurement means, comprising inference means for inferring information necessary for the user,
The information acquisition apparatus according to claim 1, wherein the information acquisition unit acquires information from an external database based on an inference result by the inference unit. The inference means infers a category to which information necessary for the user belongs based on the measurement result measured by the measurement means,
3. The information acquisition apparatus according to claim 2, wherein the information acquisition unit acquires information belonging to the category inferred by the inference unit from an external database. Display means for displaying the acquired information;
The information acquisition apparatus according to claim 1, further comprising an acquisition information display control unit that causes the display unit to display the acquisition information stored in the acquisition information storage unit. .   The measurement value acquisition means measures a contact temperature sensor that measures a contact temperature, a sweat sensor that measures the amount of sweat, a heart rate sensor that measures a heart rate, an illuminance sensor that measures illuminance, a temperature sensor that measures temperature, and a humidity. 2. The measurement value is obtained from at least one of the measurement means among a humidity sensor, a sound sensor for measuring sound, and identification information receiving means for receiving identification information of the object by wireless communication from a wireless tag. The information acquisition apparatus according to claim 4. A condition designating unit that allows a user to designate a condition for information acquired by the information acquiring unit;
6. The information acquisition apparatus according to claim 1, wherein the information acquisition unit acquires information based on a condition by the condition specifying unit. Comprising position information acquisition means for acquiring position information which is information indicating the position of the information acquisition device;
The information acquisition apparatus according to claim 1, wherein the information acquisition unit acquires information based on position information obtained by the position information acquisition unit. List creation means for creating an acquisition information list that is a list of the acquisition information;
List display control means for displaying the acquired information list on the display means;
An acquisition information selection means that allows the user to select specific information from the acquisition information list,
The information acquisition apparatus according to claim 4, wherein the acquisition information display control unit displays the acquisition information selected by the acquisition information selection unit on the display unit.   9. The information acquisition apparatus according to claim 8, wherein when there are a plurality of categories inferred by the inference means, the list creation means creates the acquisition information list for each category. A computer of an information acquisition device that acquires predetermined information from an external database,
One or a plurality of measurement means for measuring at least one of the biological information of the user of the information acquisition device, the information on the environment around the information acquisition device, and the information on the surroundings of the information acquisition device;
Based on the measurement result measured by the measurement means, information acquisition means for acquiring information necessary for the user from an external database;
An information acquisition program that functions as an acquisition information storage unit that stores acquisition information acquired by the acquisition unit.

Images