WO2005081185A1 - 推論情報作成装置、推論情報管理システム、推論情報作成システム、推論情報作成プログラム、推論情報作成プログラムをコンピュータに読取可能に記録した記録媒体、及び推論情報の作成方法 - Google Patents
推論情報作成装置、推論情報管理システム、推論情報作成システム、推論情報作成プログラム、推論情報作成プログラムをコンピュータに読取可能に記録した記録媒体、及び推論情報の作成方法Info
- Publication number
- WO2005081185A1 WO2005081185A1 PCT/JP2005/002735 JP2005002735W WO2005081185A1 WO 2005081185 A1 WO2005081185 A1 WO 2005081185A1 JP 2005002735 W JP2005002735 W JP 2005002735W WO 2005081185 A1 WO2005081185 A1 WO 2005081185A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- inference
- information
- data
- sensor
- creation
- Prior art date
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4261—Evaluating exocrine secretion production
- A61B5/4266—Evaluating exocrine secretion production sweat secretion
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/20—Input arrangements for video game devices
- A63F13/21—Input arrangements for video game devices characterised by their sensors, purposes or types
- A63F13/212—Input arrangements for video game devices characterised by their sensors, purposes or types using sensors worn by the player, e.g. for measuring heart beat or leg activity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0257—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using atmospheric pressure
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/10—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals
- A63F2300/1012—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals involving biosensors worn by the player, e.g. for measuring heart beat, limb activity
Definitions
- Inference information creation apparatus inference information management system, inference information creation system, inference information creation program, computer-readable recording medium of inference information creation program, and inference information creation method
- the present invention relates to a device for inferring a user's consciousness and emotion, and more particularly to an inference information creation device, an inference information management system, an inference information creation system, an inference information creation program, and a computer-readable record. Media and method of creating inference information.
- a sensor for measuring physiological information such as heart rate and skin impedance is added, and a CCD camera for detecting the posture and the exercise state of the user, and a voice for detecting the voice uttered by the user are provided.
- a consciousness level detection device that includes a microphone and can more accurately detect whether or not a user's consciousness level is in a specific state is known. Further, there is known a game control device that allows a user to intentionally input his or her own psychological state more accurately (for example, see Patent Document 1).
- Patent Document 1 JP-A-10-57355
- the present invention provides an inference information creation device, an inference information management system, an inference information creation system, an inference information creation program, and an inference information creation program that can create inference information with high accuracy.
- the purpose is to provide a recorded recording medium and a method for creating inference information.
- the present invention provides a measurement value acquiring means for acquiring a measurement value from at least one sensor, and information on an inference target operated by a user himself.
- Input means user input information obtained by the user from the input means, user input information obtaining means, and inference means for inferring the degree of an inference target.
- Based on the measured values obtained by the means and the user input information obtained by the user input information obtaining means create inference data that indicates the degree of the inference target and is an index value different from the measured values.
- the present invention provides an inference information creation apparatus including inference data creation means for creating inference data and inference information output means for outputting inference information including inference data created by the inference data creation means.
- the user has input means for inputting information about an inference target by operating the user himself / herself, and the measurement value obtained from each sensor and the information input by the user himself are included. Based on the above, inference data, which is an index value different from the measured value, is created, and inference information including the inference data is output. Therefore, the user can input information about the inference target without fail, and the information can be reflected on the inference information to create highly accurate inference information.
- the input means is preferably a switch.
- the user himself / herself can input information about the inference target by pressing the switch.
- the inference means preferably includes at least one inference data creation means, and inference means selection means for selecting any of the inference data creation means from the at least one inference data creation means.
- any one of at least one inference data creating means can be selected, so that more accurate inference information can be created.
- the inference means further includes first inference data creation means for creating inference data based on the measured value, and the inference means selection means includes at least one inference data creation means and the first inference data. It is preferable to select any inference data creation means from the data creation means.
- the inference means further includes first inference data creation means for creating inference data based on the measured value, so that the inference means creates inference data based only on the sensor measurement value. it can. Furthermore, since any one can be selected from a plurality of inference data creation means, more accurate inference information can be created.
- the inference data creating means when the user input information is acquired and the content of the user input information is ON, creates second inference data based on the measured value.
- Re preferably a means of creation.
- one of the inference data generation means is configured to generate inference data based on a sensor measurement value when a user inputs ON. Since it is a data creation method, inference data can be created based on sensor measurement values at the timing when ON is input by the user.
- the inference means further includes third inference data creation means for creating inference data based on the user input information, and the inference means selection means includes at least one inference data creation means and a third inference data creation means. It is preferable to select any inference data creation means from the inference data creation means.
- the inference means creates inference data based on the user input information. Since the apparatus further includes a third inference data creating means, the inference data can be created based only on the user input information. Further, since an arbitrary one can be selected from a plurality of inference data creating means, more accurate inference information can be created.
- the inference data creation means creates inference data based on the user input information when the user input information is acquired and the content of the user input information is ON.
- the fourth inference data creation means for creating inference data based on the measured value is preferable.
- one of the inference data creation means creates inference data based on the user input information when the user inputs ON, but does not input the user.
- this is the fourth inference means for generating inference data based on the sensor measurement values. Therefore, inference data based on the user input information can be created at the timing when ON is input by the user, while inference data based on sensor measurement values can be created when there is no user input.
- the inference data creation means creates an inference result based on the measured value, and further, when the user input information is acquired and the content of the user input information is on, the usage information is generated.
- it is a fifth inference data creating means for correcting the inference result based on the user input information and creating inference data.
- one of the inference data creation means creates inference data based on the sensor measurement value, and furthermore, based on the user input information when the user inputs ON. Since this is the fifth inference means in which the inference data is corrected, the inference data can be corrected based on the user input information.
- the inference data creation means creates an inference result based on the measured value, and further, when the user input information is obtained and the content of the user input information is ON, the inference data is generated. It is preferable to be a sixth inference data creating means for setting a correction value corresponding to the result, correcting the inference result with the correction value and creating inference data.
- one of the inference data creation means creates inference data based on the measurement value of the sensor, and furthermore, when the user inputs ON, the inference data corresponding to the inference data is generated. Since this is the sixth inference means in which the inference data is corrected by the correction value, the inference data can be corrected by an appropriate correction value when user input information is input.
- the index value indicates the degree of the inference information.
- the inference data creation means sets the index value such that the degree of the inference target is maximized. It is preferable to create inference data at the maximum.
- the inference data is created by maximizing the index value so that the degree of the inference target is maximized.
- it can output inference data indicating that the degree of emotion, consciousness, and the like to be inferred is the maximum.
- the index value indicates the degree of the inference information.
- the inference data creation unit sets the index value to increase the degree of the inference target.
- the inference result is corrected to be larger.
- the inference result is corrected so that the index value becomes larger in order to increase the degree of the inference target.
- the inference means comprises at least one inference means.
- At least one inference means power allows the user to select a desired inference.
- the measurement value obtaining means obtains a measurement value of at least one of the user's body temperature, heart rate, sweating, and respiration measured by the sensor.
- the sensor measures at least one of the user's body temperature, heart rate, sweating, and respiration, so that inference data on the user can be accurately inferred.
- the apparatus further comprises a position sensor for detecting the current position of the user, and the inference information output means, when the inference data is created by the inference data creation means, the position data relating to the current position detected by the position sensor. It is preferable to obtain inference information including the position data. According to the powerful configuration, since the position sensor for detecting the current position of the user is provided, the inference information including the inference data and the position data can be output.
- the inference information output means obtains date and time data related to the current date and time measured by the time measurement means when the inference data creation means creates the inference data. Then, it is preferable to output inference information including the date and time data.
- the clock means for measuring the current date and time since the clock means for measuring the current date and time is provided, it is possible to output the inference information including the inference data and the date and time data.
- the apparatus further comprises identification information addition means for adding identification information unique to the inference data creation means to the inference data, and the inference information output means outputs inference information including the inference data to which the identification information is added. Is preferred.
- inference data that is an index value different from the measurement value is created based on the measurement value obtained from each sensor, and identification information unique to the inference data creation means is generated. Inference information including the added inference data is output. Therefore, the source of the inference data creation means can be clarified, and the reliability of the inference information created based on the information measured from the sensor can be increased.
- the apparatus further comprises identification information adding means for adding identification information unique to the inference means to the inference data, and the inference information output means outputs inference information including the inference data to which the identification information is added. preferable.
- inference data that is an index value different from the measurement value is created based on the measurement value obtained from each sensor, and unique identification information is added to the inference data creation means. Inference information including the obtained inference data is output. Therefore, the source of the inference data creation means can be clarified, and the reliability of the inference information created based on the information measured from the sensor can be increased.
- a characteristic information table that stores identification information of the inference means and characteristic information indicating characteristics of the inference means, respectively, and identification information included in the inference information output by the inference information output means. It is preferable to provide a characteristic information acquisition unit that acquires characteristic information corresponding to the above from the characteristic information table.
- the identification information of the inference means and the characteristic information indicating the characteristic of the inference means are provided with the characteristic information tables that are stored in association with each other, and the inference information is created from the characteristic information table. Characteristic information of the inference means is obtained. Therefore, the source and characteristics of the inference means can be grasped.
- the characteristic information includes at least one of the reliability of the inference means, the latest update date, and the inference type.
- the characteristic information includes the reliability of the inference means, the latest update date, and the inference type, it is possible to grasp the source and characteristics of the inference means.
- the apparatus further comprises processing means selecting means for selecting the means, and the processing means selected by the processing means selecting means processes the inference information output by the inference information output means.
- one of the at least processing units is selected based on the characteristic information, and the processing is executed according to the selected processing unit. Therefore, a process according to the characteristics of the inference information is executed, and the range of use of the inference information can be expanded.
- the sensor has a biological sensor for measuring the biological information of the user and an environmental sensor for measuring the environmental information, and the measured value obtaining means obtains the biological information from the biological sensor.
- inference data acquisition means for acquiring environment information from the environment sensor.
- the inference data creation means includes: biological information acquired by the biological information acquisition means; environmental information acquired by the environment information acquisition means; Based on the user input information acquired by the user input information acquiring means, it is preferable to create inference data indicating the degree of the inference target and being an index value different from the biological information and the environmental information.
- inference data that is an index value different from the biological information and the environmental information is created based on the biological information acquired from the biological sensor and the environmental information acquired from the environmental sensor. Inference information including this inference data is output. Therefore, highly accurate inference information in which the influence of environmental factors is reduced can be created based on the biological information from the biological sensor and the environmental information from the environmental sensor. [0049] Further, it is preferable that the inference data creating means corrects the biological information with the environmental information, and creates the inference data based on the corrected biological information.
- the biological information is corrected by the environment information, and the inference data is created based on the corrected biological information. Therefore, even if the user or the biological sensor is affected by environmental factors, the biological information is corrected by the environmental information, so that highly accurate inference information with reduced influence of environmental factors can be created.
- the biological information acquisition means acquires biological information relating to at least one of the user's body temperature, heart rate, sweating, and respiration measured by the biological sensor.
- At least one of the user's body temperature, heart rate, sweating, and respiration is measured by the biological sensor, so that inference data regarding the user can be accurately inferred.
- the environment information acquisition means acquires environment information on at least one of temperature, humidity, and illuminance measured by an environment sensor.
- At least one of the ambient temperature, humidity, and illuminance is measured by the environment sensor, so that inference data regarding the user can be accurately inferred.
- the biological information obtaining means includes first interface means which is an interface for obtaining biological information from a biological sensor via a wireless or wired network. It is preferable to include second interface means that is an interface for acquiring environmental information from environmental sensors via a wired network.
- the first interface means which is an interface for acquiring biological information from a biological sensor via a wireless or wired network, and the environment via a wireless or wired network.
- a second interface means is provided for acquiring environmental information from the sensor. Therefore, biological information can be effectively acquired from an external biological sensor, and environmental information can be effectively acquired from an external environmental sensor.
- an inference information creation device that creates inference information indicating a degree of an inference target
- an inference information management device that manages the inference information created by the inference information creation device, via a network Connected, the inference information creation device inputs the information about the inference target by operating the measurement value acquisition means for acquiring the measurement value from the sensor and the user himself / herself.
- Input means input means power User input information obtaining means for obtaining user input information input by the user, and inference means for inferring the degree of the inference target, the inference means comprising measurement value obtaining means Inference data creation that indicates the extent of the inference target and creates inference data that is an index value different from the measurement value based on the measurement value acquired by the above and the user input information acquired by the user input information acquisition means Means, and inference information output means for outputting inference information including the inference data created by the inference data creation means.
- the inference information management device sends the inference information, which is also output by the inference information creation device, via the network.
- the present invention provides an inference information management system including inference information acquisition means for acquiring inference information acquired by means of inference information and inference information storage means for storing inference information acquired by the inference information acquisition means.
- inference information is collected by the inference information management device from the inference information creation device that creates inference information about the user. Therefore, if there are a plurality of inference information creation devices, a large number of inference information created by the plurality of inference information creation devices can be collectively managed by the inference information management device.
- the inference information management device includes an inference distribution diagram creating unit that creates an inference distribution diagram, which is a distribution diagram related to the inference information, based on the inference information stored in the inference information storage unit.
- inference information is collected by an inference information management device from an inference information creation device that creates inference information about a user, and the inference information management device is an inference distribution that is a distribution diagram of the inference information.
- a diagram is created. Therefore, a distribution map of inference information such as a user's consciousness and emotion can be created to grasp the distribution of inference information.
- the inference information creation device further includes a position sensor for detecting a current position of the user, and the inference information output means detects the inference data when the inference data creation means creates the inference data.
- the inference information management device obtains position data related to the current position and outputs inference information including the position data.
- the inference information management device generates an inference distribution map, which is a distribution map related to the inference information, based on the position data included in the inference information. It is preferable to provide inference distribution map creation means.
- the system is constituted by the inference information creating device and the inference information management device having the position sensor, the user's intention is determined based on the position information included in the inference information.
- a distribution map of inference information such as knowledge and emotion can be created.
- the inference information creation device further includes a clock unit that measures the current date and time, and the inference information output unit is configured to output the current date and time measured by the clock unit when the inference data is created by the inference data creation unit.
- the inference information management device obtains the date and time data related to the inference information and outputs the inference information including the date and time data.
- the inference information management device creates an inference distribution map that is a distribution map of the inference information based on the date and time data included in the inference information. It is preferable to provide a distribution map creating means.
- the inference information creating device and the inference information management device having the timekeeping means are composed of the force and the power. Therefore, based on the date and time information included in the inference information, the user's consciousness is determined. A distribution map of inference information such as information and emotions can be created.
- the inference means includes identification information adding means for adding identification information unique to the inference means to the inference data
- the inference information output means includes an inference information including the inference data to which the identification information is added.
- the inference information management device outputs information, a characteristic information table storing identification information of the inference means and characteristic information indicating characteristics of the inference means, respectively, and an inference output by the inference information output means. It is preferable to include a characteristic information acquisition unit that acquires characteristic information corresponding to identification information included in the information, in a characteristic information table.
- the inference information management / creation apparatus acquires characteristic information based on identification information included in the inference information. Therefore, the source of the inference means can be clarified, and the reliability of the inference information created based on the information measured from the sensor can be increased.
- the characteristic information includes at least one of the reliability of the inference means, the latest update date, and the inference type.
- the characteristic information includes the reliability of the inference data creation unit, the latest update date, and the inference type, it is possible to grasp the source and characteristics of the inference data creation unit.
- the inference information management device selects one processing means from at least one processing means based on at least one processing means executed for the inference information and the characteristic information acquired by the characteristic information acquiring means.
- the processing means selected by the processing means selecting means and the processing means selected by the processing procedure selecting means determine the inference information output by the inference information output means. Treatment.
- one of the plurality of processing means is selected based on the characteristic information, and the processing is executed by the processing means. Therefore, a process according to the characteristics of the inference information is performed, and the range of use of the inference information can be expanded.
- the inference information output means includes first communication interface means for executing data transmission / reception with the inference information management device wirelessly or wiredly, and the inference information acquisition means comprises wirelessly or wiredly generating inference information. It is preferable to provide second communication interface means for executing data transmission / reception with the device.
- the inference information creation device and the inference information management device are provided with interface means for transmitting and receiving data, respectively. Therefore, the inference information creation device and the inference information management device are separately provided.
- the device can be connected via a network.
- the sensor has a biological sensor for measuring biological information of the user and an environmental sensor for measuring environmental information
- the measured value obtaining means is a biological information obtaining means for obtaining biological information from the biological sensor.
- inference data acquisition means for acquiring environment information from the environment sensor.
- the inference data creation means includes: biological information acquired by the biological information acquisition means; environmental information acquired by the environment information acquisition means; It is preferable to create inference data that is an index value different from biological information and environmental information based on the user input information acquired by the user input information acquiring means.
- inference data that is an index value different from the biological information and the environmental information is created based on the biological information acquired from the biological sensor and the environmental information acquired from the environmental sensor. Inference information including this inference data is output. Therefore, highly accurate inference information in which the influence of environmental factors is reduced can be created based on the biological information from the biological sensor and the environmental information from the environmental sensor.
- the present invention provides a biological sensor for measuring biological information of a user, an environmental sensor for measuring environmental information, a biological information acquired from the biological sensor, and environmental information acquired from the environmental sensor.
- An inference information creation device that creates inference information of a user based on the inference information creation system connected via a network, wherein the biological sensor is a biological information measurement unit that measures biological information; The biological information measured by the biological information measuring means is estimated.
- a biological information transmitting unit that transmits the logical information to the inference information generating device, and the environment sensor transmits the environmental information measured by the environmental information measuring device to the inference information generating device.
- the inference information creating device receives the biological information transmitted from the biological sensor, receives the biological information acquiring means for acquiring the biological information, and receives the environmental information transmitted from the environmental sensor, Environment information acquisition means for acquiring environment information, input means for operating the user himself to input information about the inference target, and user input information for acquiring user input information input by the user from the input means Acquisition means, and inference means for inferring the degree of the inference target, wherein the inference means includes the biological information acquired by the biological information acquisition means and the environment acquired by the environmental information acquisition means.
- Data and inference data creation means for creating inference data that is an index value different from biological information and environmental information based on the information and the user input information acquired by the user input information acquisition means.
- an inference information output unit that outputs inference information including the created inference data.
- the biological sensor, the environment sensor, and the inference information creation device are configured independently of each other, and the inference information creation device performs inference based on the biological information and environment information acquired from each external sensor. Information is created. Therefore, highly accurate inference information with reduced influence of environmental factors can be created based on biological information and environmental information, and an inference information creation system can be configured in a free and flexible manner.
- a computer obtains a measurement value from at least one sensor by using a measurement value acquisition unit, and a user himself / herself operates the computer to input information about an inference target. From the input means to obtain the user input information input by the user, and the inference means to infer the degree of the inference target. The inference means is obtained by the measurement value acquisition means.
- An inference data creation unit that creates inference data that is an index value different from the measurement value based on the measured value and the user input information acquired by the user input information acquisition unit, and an inference data creation unit.
- An inference information creation program having inference information output means for outputting inference information including created inference data is provided.
- the measurement value obtained from each sensor and the information input by the user himself are included. Based on the information, inference data that is an index value different from the measurement value is created, and inference information including the inference data is output. Therefore, the information input by the user can be reliably reflected on the inference information, and highly accurate and inference information can be created.
- a measurement value acquisition means for acquiring a measurement value from at least one or more sensors, and a user himself / herself operating the computer to input information about an inference target. From the input means to obtain the user input information input by the user, and the inference means to infer the degree of the inference target.
- the inference means is obtained by the measurement value acquisition means.
- An inference data creation unit that creates inference data that is an index value different from the measurement value based on the measured value and the user input information acquired by the user input information acquisition unit, and an inference data creation unit.
- the present invention provides a recording medium in which an inference information creation program having inference information output means for outputting inference information including created inference data is recorded in a computer so as to be readable.
- inference data that is an index value different from the measurement value is created based on the measurement value acquired from each sensor and information input by the user himself / herself.
- Inference information including data is output. Therefore, the information input by the user can be reliably reflected on the inference information, and highly accurate and inference information can be created.
- the present invention provides a measurement value acquiring step of acquiring a measurement value from at least one or more sensors, and an input means for operating a user himself to input information about an inference target. It has a user input information acquisition step of acquiring user input information input by the user, and an inference step of inferring the degree of the inference target, and the inference means is acquired in the measurement value acquisition step.
- an inference information output step of outputting inference information including the inference data created in (1).
- inference data which is an index value different from the measurement value
- Inference information including inference data is output. Therefore, highly accurate inference information can be created by reliably reflecting the information input by the user in the inference information.
- An inference information creation device an inference information management system, an inference information creation system, an inference information creation program, an inference information creation program, and an inference information creation that can create highly accurate inference information by reflecting information input by a user in inference information. It is possible to provide a recording medium in which a program is recorded in a computer readable manner, and a method for creating inference information.
- FIG. 1 is a block diagram showing a configuration of the inference information creating device according to the first embodiment of the present invention.
- FIG. 2 is a conceptual diagram showing a configuration of a storage area of a RAM included in the inference information creating apparatus of FIG.
- FIG. 3 is a conceptual diagram showing a configuration of a storage area of an HDD included in the inference information creating device of FIG.
- FIG. 4 (a) is a main flowchart of the inference information creation processing according to the first embodiment of the present invention.
- FIG. 4 (b) is a flowchart showing details of S7 in FIG. 4 (a).
- FIG. 5 is a flowchart showing details of a sensor value initialization process (SI) in FIG. 4 (a).
- FIG. 6 is a flowchart showing details of “sensor output mode 1” (S7) in FIG. 4 (b).
- FIG. 7 is a flowchart showing details of inference execution processing (S111) based on the sensor measurement values in FIG.
- FIG. 8 (a) is a diagram showing a data configuration of an inference definition table for "impression" in the first embodiment of the present invention.
- FIG. 8 (b) is a diagram showing a data configuration of an inference definition table for “sadness” in the first embodiment of the present invention.
- FIG. 8 (c) is a diagram showing a data configuration of an inference definition table for "joy" in the first embodiment of the present invention.
- FIG. 9 is a flowchart showing details of “sensor output mode 2” (S8) in FIG. 4 (b).
- FIG. 10 is a flowchart showing details of the “switch output mode” (S9) in FIG. 4 (b).
- FIG. 11 is a flowchart showing details of “switch priority mode” (S10) in FIG. 4 (b).
- FIG. 12 is a flowchart showing details of “switch correction mode 1” (S11) in FIG. 4 (b).
- FIG. 13 is a flowchart showing details of “switch correction mode 2” (S12) in FIG. 4 (b).
- FIG. 14 is a flowchart showing details of the “switch state correction mode” (S13) in FIG. 4 (b).
- FIG. 15 is a diagram showing a data configuration of a correction table used in “switch state correction mode” (S13).
- FIG. 16 is a flowchart showing details of the inference information output process (S14) in FIG. 4 (b).
- FIG. 17 is a diagram showing a data configuration of inference information according to the first embodiment of the present invention.
- FIG. 18 is an overall configuration diagram of an inference distribution map creation system according to a second embodiment of the present invention.
- FIG. 19 is a block diagram showing another configuration of the inference information creating device in FIG.
- [En. 22] is a diagram showing a data configuration of inference information according to the second embodiment of the present invention.
- FIG. 24 is a flowchart showing details of the inference distribution map creation / drawing processing (S402) in FIG. It is.
- Plant 25 is a diagram for explaining the process of creating the inference distribution map in the inference distribution map creation drawing process (S402).
- Plant 26 is another diagram for explaining the process of creating the inference distribution map in the inference distribution diagram creation drawing process (S402).
- [Zoom 27] is a diagram showing an example of an inference distribution map in the inference distribution diagram creation / drawing process (S402).
- [Zen 28] is a diagram showing another example of the inference distribution map in the inference distribution diagram creation drawing process (S402).
- Plant 29 is a diagram showing another example of the inference distribution map in the inference distribution diagram creation / drawing process (S402).
- Garden 30 is a conceptual diagram showing the configuration of the storage area of the HDD included in the inference information creation device according to the third embodiment of the present invention.
- [Garden 32] is a diagram showing a data configuration of inference information created in the third embodiment of the present invention.
- FIG. 35 is a flowchart showing details of a process A by characteristic in FIG. 33.
- FIG. 36 is a flowchart showing details of a characteristic-specific process B in FIG. 33.
- FIG. 37 is a flowchart showing details of a characteristic-specific process C in FIG. 33.
- FIG. 38 is a flowchart showing details of process D by characteristic in FIG. 33.
- Garden 43 is a block diagram showing a configuration of an inference information creating device according to a fifth embodiment of the present invention.
- Plant 45 is an overall configuration diagram of the inference information creation system according to the sixth embodiment of the present invention.
- FIG. 47 is a block diagram showing a configuration of the body temperature sensor of FIG.
- Garden 49 is an overall configuration diagram of the inference information management system according to the seventh embodiment of the present invention.
- the inference information creation device is a small portable terminal device carried by a user.
- user inference information is created from information measured by a sensor and information input by the user.
- examples of the information measured from the sensor include measured values of body temperature, sweating, and heart rate.
- switch information indicating an on / off state of a switch for intentionally inputting a user's own mental state is exemplified.
- the inference information is information on the consciousness and emotion of the user to be inferred.
- the inference target is related to “impression” of the user, and a case will be described in which inference information is created according to the strength of “impression”, that is, the magnitude of the “impression”.
- the inference information creation device 1 has a computer 11.
- the computer 11 is provided with a CPU 110 that controls the inference information creation device 1.
- a ROM 120, a RAMI 30 for temporarily storing data, and a hard disk drive (hereinafter referred to as “HDD”) 140 as a data storage device are connected to the CPU 110 via a bus 115.
- the ROM 120 stores programs such as BIOS executed by the CPU 110.
- a timer 190 for counting the current date and time and the time interval is connected to the CPU 110 via the bus 115.
- the timer 190 is an IC chip having a clock function. Alternatively, the clock 190 may be configured to obtain the date and time via the Internet or wirelessly.
- an input detection unit 180 that detects input from various devices is connected to the CPU 110 via the bus 115.
- the user operates the inference information creation device 1.
- Input panel 181 with buttons and switches for operating, body temperature sensor 182 for measuring the user's body temperature, sweat sensor 183 for measuring the user's sweating state, and measuring the user's heart rate Heart rate sensor 184 is connected.
- the body temperature sensor 182, the perspiration sensor 183, and the heart rate sensor 184 can be used in any position and measurement method as long as they can effectively measure the user's body temperature, sweat, and heart rate, but preferably these sensors are read. The measurement is performed with the part in contact with the user's skin.
- the body temperature sensor 182 measures a temperature in the range of 0 to 50 ° C., and the sweat sensor 183 measures the temperature as 0 100. Humidity in the range of / oRH is measured, and the heart rate sensor 184 measures a heart rate in the range of 0 200 beats as a measured value.
- Each sensor is controlled to automatically execute a periodic measurement when the inference information creation device 1 is powered on and started.
- the measured value of each sensor is stored in a predetermined storage area inside each sensor.
- the latest measurement value is obtained from the predetermined storage area via the input detection unit 180.
- the RAM 130 and the HDD 140 of the inference information creation device 1 are provided with a measurement value storage area (not shown) for each sensor, and the measurement values of each sensor are stored in the measurement value storage area via the input detection unit 180, and the inference information creation area is created.
- the latest measured value may be obtained by referring to the measured value storage area.
- the input panel 181 includes at least a power reset switch 151, a communication switch 152, and an inference mode selection switch 153.
- the power reset switch 151 is for turning on and off the power of the inference information creation device 1 and for restarting.
- the intention transmission switch 152 is for the user himself / herself to turn on / off and input switch information so that the user intentionally inputs his / her own intention.
- the input detection unit 180 acquires the switch information and determines whether the communication switch 152 is on or off.
- the inference mode selection switch 153 is for selecting an inference mode of the inference information creation device 1.
- the user In order for the user to intentionally transmit his / her own intention to the inference information creation device 1, the user will turn on / off the intention transmission switch 152. For example, when the inference information creating device 1 makes an inference about “impression” of a user, the Turn on the transmission switch 152 and input the switch information "@N”. If not impressed, enter the switch information "@FF" without turning on or off the communication switch 152.
- the sensor information from the body temperature sensor 182, the perspiration sensor 183, the heart rate sensor 184, and the switch information from the communication switch 152 Thus, inference information about the user is created.
- an inference information creation program is executed as one of the modules executed by the inference information creation device 1 of the present embodiment.
- the inference information creation program is stored in advance in the program storage area 142 (FIG. 3) on the HDD 140.
- an external storage medium such as a CD-ROM or an external storage device via a network can be used to store data on the HDD 140.
- the inference information creation program is set up in the program storage area 142 and the information storage area 143 (Fig. 3).
- the input panel 181 is provided with an inference engine selection switch 154 for the user to select an arbitrary inference engine from a plurality of inference engines provided in the inference information creation device 1. I have.
- An inference engine has a function of inferring a user's consciousness and emotion based on information measured from each sensor. Specific inference methods and setting conditions are defined for each inference engine.
- the inference engine is a program for inferring the user's consciousness and the like based on the measured values from each sensor in accordance with the contents of the definition, and is executed by the CPU 110 as a part of the inference information creation program.
- a plurality of inference engines are stored in the HDD 140, and the user can select an arbitrary inference engine.
- the RAM 130 of the inference information creation device 1 includes a work area 131, an input information storage area 132, and an output information storage area 133.
- the work area 131 is for storing temporary data during execution of the program.
- the input information storage area 132 is for temporarily storing various types of input information.
- the output information storage area 133 is for temporarily storing various information to be output.
- the RAMI 30 is provided with various storage areas (not shown).
- the HDD 140 of the inference information creation device 1 includes an operating system (OS) storage area 141, a program storage area 142, an information storage area 143, and an inference information storage area 144. Provided.
- OS operating system
- the operating system (OS) storage area 141 stores various programs executed by the CPU 110 to control the operation of the inference information creation device 1.
- the program storage area 142 stores various programs executed by the inference information creation device 1 and inference information creation programs (FIG. 4A, FIG. 7, FIG. 9, FIG. 14, FIG. 16).
- the information storage area 143 stores information such as settings, initial values, and data necessary for executing the program.
- the inference information storage area 144 is for storing the created inference information.
- the information storage area 143 includes an inference definition table (FIG. 8 (a) -1 (c)) described later and a correction tape storage for creating inference data based on information measured from various sensors. ( Figure 15) is stored.
- a plurality of inference engines FIG. 4 (b), FIG. 6, FIG. 7, FIG. 9 and FIG. Is stored as part of the
- a plurality of inference programs for executing each of a plurality of inference modes are stored as part of each inference information engine.
- the inference engine uses the inference definition table 13 of Fig. 8 (a) to calculate an inference value relating to the emotion to be inferred, that is, the degree of emotion (E), and based on that, infers the inference data.
- the inference definition table 113 shown in FIG. 8 (b) to calculate the inference value regarding sadness, that is, the degree of sadness (S), and creating inference data based on the calculated inference value, FIG.
- an inference value relating to pleasure, that is, the degree of pleasure is calculated using the inference definition table 213 of), and inference data is created based on the calculated inference value.
- Each inference definition table 13, 113, 213 is stored in the information storage area 143.
- the main flow chart of the inference information creation process shown in Fig. 4 (a) is based on the assumption that the user operates the power reset switch 151 (Fig. 1) to turn on the power of the inference information creation device 1 or to create the inference information creation process.
- the processing is started.
- the sensor value initialization processing SI
- the sensor value initialization process is a process of initializing a reference value for each sensor that is referred to in the inference data creation process described later.
- variable ST variable ST
- variable SH variable SM
- S104 The measured values of body temperature, sweating, and heart rate obtained from each sensor are added to variable ST, variable SH, and variable SM, respectively (S104). If the measurement value is acquired in S103 for the first time, ⁇ 0 '' is substituted for the variable ST, variable SH, and variable SM in S102, so that the temperature, sweat, and heart rate acquired in S103 are obtained. Each measurement value is directly substituted into the variables ST, SH, and SM.
- variable T force is decremented by “1” (S105), and if T is not “0” (S106: N ⁇ ), the process returns to S103, and the measured value by each sensor is obtained again. In this way, the measurement value of S103 is obtained until the number set in the variable T in S102 (here, three times), and the processing of S103-S106 is repeated.
- the T force reaches “0” (S106: YES)
- the variable ST, the variable SH, and the variable SM indicate the total value of the measured values for the number of times set in the variable T.
- variable ST, the variable SH, and the variable SM are each divided by "3" which is the value set in the variable T, and are respectively assigned to the variables CT, CH, and CM (S107).
- the average value of one measured value of each sensor Is obtained.
- Variable CT is the reference value of body temperature sensor 182
- variable CH is the reference value of sweat sensor 183
- variable CM is the reference value of heart rate sensor 184.
- the reference values of these sensors are stored in a reference value area (not shown) provided in the RAM 130.
- an inference engine is selected (S2).
- the inference information creation device 1 can select any one of a plurality of inference engine powers, and processing contents for creating inference data differ depending on each inference engine.
- Each inference engine is a program An inference engine which is stored in the storage area 142 and executes inference data creation processing (S4) described later in S2 is determined.
- the selection of the inference engine (S 2) is executed when the user selects an arbitrary one using the inference engine selection switch 154 of the input panel 181.
- the inference engine is set (S3). That is, the selected inference engine is read from the program storage area 142 and is made executable by the CPU 110. If the inference engine to be executed by the inference information creating apparatus 1 is set in advance, the set inference engine is automatically read and selected. If the user does not select an inference engine, a default inference engine is automatically set.
- an inference mode is selected (S5).
- any one of a plurality of inference modes can be selected.
- the processing content for creating inference data differs depending on each inference mode.
- An inference program for executing each inference mode is stored in the program storage area 142. According to the inference mode selected in S5, an inference program that executes inference data creation processing described later is determined.
- the selection of the inference mode is executed by the user selecting an arbitrary one from the inference mode selection switch 153 (Fig. 1).
- the inference mode is set in the inference information creating device 1, the set inference mode is automatically read and selected. If the user does not select an inference mode, the default inference mode is automatically set.
- the processing content in the inference data creation processing is determined (S6).
- “sensor output mode 1” (S7), “sensor output mode 2” (S8), “switch output mode” (S9), “switch priority mode” (S10), One of the inference modes of “switch correction mode 1” (Sll), “switch correction mode 2” (S12), and “switch state correction mode” (S13) is executed as inference data creation processing. S7-After executing one of S13, shift to S14.
- the inference data creation process is a process of creating inference data from information measured from a sensor and information input by a user. The flow of the inference data creation processing will be described for each inference mode with reference to the drawings.
- the inference execution process (S111) will be described in detail with reference to FIG.
- the body temperature, sweating, and heart rate of the user measured by the body temperature sensor 182, the perspiration sensor 183, and the heart rate sensor 184 are measured.
- the values are respectively obtained (S201).
- a state variable that is a flag indicating a change in the state of the measurement value from each sensor is cleared (S202).
- three bits a second bit for the body temperature measured by the body temperature sensor 182, an lbit for the perspiration measured by the perspiration sensor 183, and an Obit for the heart rate measured by the heart rate sensor 184, are used. Has as a state variable. Then, based on the reference values CT, CH, and CM of each sensor calculated in S107 (FIG. 5) in S203 and subsequent steps and stored in the reference value area (not shown) of the RAM 130, a change in the measurement value from each sensor is determined. I do.
- the measured body temperature obtained from body temperature sensor 182 is compared with a reference value (body temperature threshold) CT relating to body temperature (S203).
- a reference value body temperature threshold CT relating to body temperature (S203).
- the second bit is set to “UP” (S204).
- the process directly proceeds to the next step (S205).
- the reference value (perspiration threshold value) CH is compared with the reference value (S205).
- the process directly proceeds to the next step (S207).
- the heart rate measurement value obtained from the heart rate sensor 184 is compared with a reference value (heart rate threshold value) CM relating to the heart rate (S207).
- CM heart rate threshold value
- the Obit is set to “UP” (S208).
- the heart rate measurement value is not larger than the heart rate threshold value CM (S207: N0)
- the process directly proceeds to the next step (S209).
- the inference type 13a and the inference value 13c corresponding to the second bit, the lbit, and the Obi-th pattern of the state variable are acquired from the inference definition table 13 regarding “impression”.
- the inference definition table 13 includes an inference type 13a that indicates the type of inference, a sensor state 13b that indicates a state of change in a measured value from each sensor, and a number of inferences by the user.
- the inference value 13c indicated by the value is provided as a data item. The correspondence of each data item is defined in a table format.
- the inference type 13a defines a type relating to "impression", specifically, a plurality of types from “excitement” to "impression (normal)” depending on the magnitude of the "impression” of the user. ing.
- an inference value 13c representing the degree of “impression” by a numerical value is defined. For example, if the inference type 13a is “excitement”, the inference value 13c is the maximum value “100”. Note that the inference value 13 c is also displayed as a degree of emotion (E).
- the sensor state 13b is specified by the state variables set in S203 to S208. Therefore, the inference type 13a and the inference value 13c corresponding to the sensor state 13b are obtained.
- the value of the inference value 13c increases as the degree of "impression” increases.
- the inference value 13c decreases as the degree of "impression” increases. You can set it to
- sensor output mode 2 (S8) is based on the measurement value from each sensor when the user turns on the communication switch 152 and the switch information is set to "ON". This is an inference mode that creates inference data.
- the communication switch 152 is set to " ⁇ N". Is determined (SI 21). If the communication switch 152 is “ ⁇ N” (SI 21: YES), the inference execution process (S122) based on the sensor measurement value is executed. Note that S122 is the same process as S111 described with reference to FIG. Then, inference data including the inference type 13a and the inference value 13c acquired in S122 is created (S123). On the other hand, if the communication switch 152 is “ ⁇ FF” (S121: N ⁇ ), the process returns to FIG. 4A without creating inference data. Therefore, inference data based on the sensor measurement values can be created at the timing when the communication switch 152 is turned “ON” by the user.
- the communication switch 152 is “0 N” (S131). If the communication switch 152 is “ON” (S131: YES), in the inference definition table 13, the inference type 13a corresponding to the sensor state 13b in which all of the 2nd bit to the Obit of the state variable are “UP” The inference value 13c is obtained (S132). That is, when all of the second bit to the Oth bit of the state variable are “UP”, the inference type 13a corresponding to the sensor state 13b is “excitement” and the inference value 13c is “100”. Based on this, inference data indicating that the user is strongest and “impressed” is created (S134).
- the inference type 13a and the inference value 13c corresponding to the sensor state 13b that is not the force S “UP” of the second bit to the Oth bit of the state variable are acquired (S133). That is, if all of the second bit to the Oth bit of the state variable are not “UP”, the inference type 13a corresponding to this sensor state 13b is “impressed (normal)” and the inference value 13c is “0”. . Based on this, inference data indicating the weakest “impression” of the user is created (S134). Therefore, inference data can be created based only on the switch information in which the user turns on / off the communication switch 152.
- switch priority mode when the user turns on the communication switch 152 and the switch information " ⁇ N" is input, inference data is generated based on the switch information of the user. create. On the other hand, if the user does not turn on the communication switch 152 or turns it off. If switch information “$ FF” is input or switch information is not input for some reason (such as failure), this is an inference mode in which inference data is created based on measurement values from each sensor.
- the communication switch 152 in the “switch priority mode” (S10), it is determined whether or not the communication switch 152 is “0 N” (S141). If the communication switch 152 is “ON” (S141: YES), in the inference definition table 13, the inference type 13a corresponding to the sensor state 13b in which all of the 2nd bit to the Obit of the state variable are “UP” The inference value 13c is obtained (S142). On the other hand, if the communication switch 152 is “ ⁇ FF” (S141: N ⁇ ), the inference execution process (S143) based on the sensor measurement value is executed. Note that S143 is the same process as S111 described with reference to FIG.
- inference data including the inference type 13a and the inference value 13c acquired in S142 or S143 is created (S144). Therefore, when the user turns on the communication switch 152 and the switch information “ ⁇ N” is input, inference data can be created based on the switch information of the user at the input timing. On the other hand, if the user inputs the switch information ⁇ ⁇ FF '' without turning on (turning off) the communication switch 152, inference data can be created based on the measured values of each sensor force. .
- switch correction mode 1 inference is first made based on the measurement values from each sensor. Then, when the user turns on the communication switch 152 and the switch information “ON” is input, the inference result is corrected by a predetermined correction value to generate inference data. Also, when the user does not turn on the communication switch 152 or turns it off and the switch green information “OFF” is input, the inference mode outputs the inference result as it is as inference data.
- inference execution processing (S151) based on measured values is executed.
- S151 is the same process as S111 described with reference to FIG.
- inference data including the inference type 13a and the inference value 13c after the correction is created (S154). Therefore, when the user turns on the communication switch 152 and the switch information “ ⁇ N” is input, the inference result can be corrected by a predetermined correction value.
- the intention transmission switch 152 power is “OFF” (S152: NO)
- inference data having the inference type 13a and the inference value 13c acquired in S151 is created (S154).
- the correction value may be a value that largely reflects the effect of turning on the intention transmission switch 152. For example, a value corresponding to 30% of the inference value 13c may be set.
- switch correction mode 2 (S12)
- the user turns on the communication switch 152 and the switch information "ON" is input.
- the measurement value of each sensor is corrected by a predetermined correction value.
- an inference execution process based on the corrected sensor measurement value is performed.
- the switch information ⁇ OFF '' without turning on the communication switch 152 (by turning it off)
- the inference execution process based on the normal sensor measurement value is executed to generate the inference data. Inference mode.
- the sweat measurement value is corrected by the sweat correction value
- the heart rate measurement value is corrected by the heart rate correction value. Therefore, when the user turns on the communication switch 152 and the switch information “ON” is input, the measurement value of each sensor can be corrected by the predetermined correction value. Then, inference execution processing is executed using the corrected sensor measurement values (S164). On the other hand, if the communication switch 152 is “ ⁇ FF” (S162: N ⁇ ), an inference process based on each sensor measurement value acquired in S161 is executed (S164). Note that S164 is the same process as S111 described with reference to FIG. 7, the force S, and the acquisition of the measured value from each sensor (S201) is actually performed. Not done. Then, inference data including the inference type 13a and the inference value 13c acquired by the SI 64 is created (S165).
- the switch state correction mode (S13) inference is first made based on the measurement values from each sensor. Then, when the user turns on the communication switch 152 and the switch information “ON” is input, the inference result is corrected by the correction value defined in the correction table 14 to generate inference data. On the other hand, if the user inputs (ie, turns off) the switch information 152 without turning on the communication switch 152, the inference mode outputs the inference result as it is as inference data. .
- the "switch state correction mode” (S13) is different from the “switch correction mode 1" (S11) shown in FIG. 12 in that S173 is added between S152 and S153. Except for the same. That is, in the “switch correction mode 1” (S11), the correction value is determined in advance, whereas in the “switch state correction mode” (S13), the correction value is determined by referring to the correction table 14 in S173. It differs in setting.
- the correction table 14 includes an inference type 14a and an inference value 14b to be corrected, a switch ON correction value 14c, which is a correction value added to the correction target, and an inference type after correction. 14d and inference 14e.
- the switch ON correction value 14c corresponding to the inference type 14a and the inference value 14b is obtained.
- the corrected inference type 14d and the inference value 14e are obtained.
- the inference result can be corrected by the correction value defined in the correction table 14. For example, if the inference type 14a “static force ⁇ impressed” and the inference value 14b “50” are acquired in S151, and the user turns on the communication switch 152, the correction table 14 force switch ⁇ N The time correction value 14c “20” is acquired, and after the correction, the inference type 14d is “slightly excited” and the inference value 14e is “70”.
- each inference program for executing each inference mode is executed by the CPU 110, whereby each inference data creation process ( S7, S8, S9, S10, Sll, S12, SI 3) One of the forces S is executed and the inference data force S is created.
- inference data indicating that the inferred emotion or consciousness is strong is output.
- An inference mode is provided to reflect the information entered by the user himself in the inference data.
- the inference data can be obtained accurately. It should be noted that even if only one of the measurements of body temperature, heart rate and sweating is good or only one is good, inference data can be obtained accurately.
- an inference information output process (S14) for outputting inference data created in each inference data creation process is executed.
- the inference data created in each inference data creation process (S7 or S13).
- the inference information 10 is created based on the data (S301).
- the inference information 10 includes at least an inference value 10a and an inference type 10b.
- the inference value 10a and the inference type 10b correspond to the inference value 13c and the inference type 13a included in the inference data, respectively.
- the inference information 10 created in S301 is stored in the inference information storage area 144 (FIG. 3) of the HDD 140 (S302).
- This predetermined time is a time set in the timer 190 in advance.
- the elapse of the predetermined time is determined with reference to the timer 190.
- the predetermined time set in the timer 190 can be set to any time by a user or a designer.
- the process returns to S6, where the inference mode is selected, and each inference data creation process is performed. Any of the forces S (S7, S8, S9, S10, Sll, S12, S13) is executed to generate the inference data force S, and the inference information 10 is output (S14). That is, in the inference information creation device 1, the process of outputting the latest inference information 10 is repeated at predetermined time intervals or each time the communication switch 152 is set to “ ⁇ N”. As a result, in the inference information storage area 144 (FIG. 3) of the HDD 140, a plurality of pieces of inference information 10 about the user are stored in a time series.
- the inference type 13a defines the type of “sadness”, and the magnitude of the degree of “sadness” of the user is large. A plurality of types from “anxiety”, “great sadness”, etc. to "normal” are defined.
- an inference value 13c representing the magnitude of the degree of “sadness” is defined as a numerical value. For example, if the inference type 13a is “anxiety”, the inference value 13c is the maximum value “30”.
- the inference type 13a and the inference value 13c corresponding to the sensor state 13b are obtained in the inference definition table 113.
- the inference definition table 213 is used instead of the inference definition table 13.
- the inference type 13a defines the type related to "joy”
- the inference value 13c representing the magnitude of the degree of "joy” by a numerical value is defined. Have been.
- the sensor state 13b is specified, the inference type 13a and the inference value 13c corresponding to the sensor state 13b are obtained.
- the inference information creating apparatus 1 of the first embodiment the measured values obtained from the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184, Since the inference information 10 is created based on the switch information input by the user turning on and off the communication switch 152, the inference information 10 with higher accuracy can be created. That is, the user can reflect the user's consciousness, emotion, and the like in the inference information 10 by arbitrarily inputting the switch information. Therefore, it is possible to improve the accuracy of the inference information 10. Further, since the inference mode can be set arbitrarily, the switch information input by the user can be reflected in the inference information 10.
- inference data can be created by an optimal inference engine in accordance with the use situation and use environment of the inference information creation device 1, and It is possible to create inference data about the user more accurately.
- the inference distribution diagram creation system 700 is a system in which an inference information creation device that is a small portable terminal device carried by a user and an inference distribution diagram creation device that is a fixed computer device are connected via a network. It is. Real truth
- inference information created by each of the plurality of inference information creation devices is collected by the inference distribution diagram creation device via a network, and a distribution map relating to the inference information is created. An example is shown.
- an inference distribution map creation system 700 As shown in FIG. 18, in the inference distribution diagram creation system 700, a plurality of inference information creation devices 701 and the inference distribution diagram creation device 2 are connected via a network 90.
- the network 90 is effectively connected so that data can be transmitted and received between the terminals, whether wired or wireless.
- each inference information creation device 701 is different from the inference information creation device 1 (FIG. 1) of the first embodiment except that it includes a GPS receiver 185 and a communication unit 170. It has the same configuration.
- the GPS receiver 185 receives a radio wave from an artificial satellite, measures latitude and longitude, and detects the current position.
- the communication unit 170 connects the external network 90 and the computer 11.
- the communication unit 170 only needs to be able to effectively connect to the external network 90 by wire or wirelessly.
- communication unit 170 is a wireless LAN adapter for executing connection with network 90 by wireless LAN.
- a CPU 210, a ROM 220, a RAM 230, an HDD 240, a display control unit 260 to which a display 261 is connected, a microphone 271 and a speed 272 are connected to the inference distribution diagram creating device 2.
- An input detection unit 280 to which a voice control unit 270, a mouse 281 and a keyboard 282 are connected is provided via a bus 215.
- the configuration of such an inference distribution diagram creating apparatus 2 is known as the configuration of a normal computer device, and thus the details are omitted.
- the inference distribution map creation device 2 is provided with a communication interface 291 for effectively connecting to an external network 90 by wire or radio.
- the communication interface 291 can be effectively connected to the network 90.
- the communication interface 291 is a LAN card for connecting a cable to a wired LAN.
- the inference information creation device 701 executes “inference information creation processing” for creating inference information based on the switch information input by the user and the measurement value from each sensor.
- the “inference information creation processing” of the present embodiment is described with reference to FIG. It is the same as the “inference information creation process” described above except for S14.
- the GPS receiver 185 is referred to obtain position data indicating the current position (S311), and the timepiece 190 is referred to. Then, date and time data indicating the current date and time is obtained (S312). Then, the inference data created by the level shift force of each inference data creation process (S7, S8, S9, S10, Sll, S12, S13) shown in Fig. 4 (b) and the position acquired in S311 Inference information 710 is created based on the data and the date and time data acquired in S312 (S313). The inference information 710 created in S313 is transmitted from the communication unit 170 to the inference distribution map creation device 2 via the network 90 (S314).
- the inference information 710 includes at least the inference value 10a, the inference type 10b, the position data 10c, and the date and time data 10d.
- position data 10c can be output because GPS receiver 185 is provided, and date / time data 10d can be output because timekeeping device 190 is provided.
- the inference value 10a and the inference type 10b correspond to the inference value 13c and the inference type 13a included in the inference data, respectively.
- the position data 10c corresponds to the position data acquired in S311 and the date and time data 10d corresponds to the date and time data acquired in S312.
- the position data 10c may indicate relative coordinates that need not be absolute coordinates.
- the inference information 710 transmitted to the inference distribution map creation device 2 is received by the communication interface 291 via the network 90, and the inference information (not shown) provided in the HDD 240 of the inference distribution map creation device 2 is provided. Stored in the information storage area.
- the inference distribution map creation device 2 executes an inference distribution map creation process of creating a distribution map related to inference information based on a plurality of inference information collected in an inference information storage area (not shown).
- the inference distribution map creation processing is periodically executed at predetermined time intervals, or is executed according to an instruction from the mouse 281 or the keyboard 282.
- inference information 710 for which a distribution map is to be created is read from an inference information storage area (not shown) (S401).
- all the inference information 710 stored in the inference information storage area (not shown) may be read, or only a part thereof may be read.
- the user selects the inference information 710 to be read. You may make it selectable.
- an inference distribution map drawing process (S402) is executed, and an inference distribution map that is a distribution map related to the inference information 710 is created.
- the data of the inference distribution map created in S402 is stored in an unshown inference distribution map storage area of the HDD 240 (S403).
- inference distribution diagram creation / drawing process As a method of creating a distribution map based on the inference information 710, various distribution map creation methods can be applied.
- the content of the processing in the inference distribution map creation / drawing processing (S402) differs depending on the method of creating the inference distribution map.
- a case will be described in which an inference distribution map based on a concentric contour distribution is created.
- each measurement point is specified on the map based on the position data 10c (FIG. 22) included in the inference information 710 (S411). ). That is, the measurement point corresponding to the position data 10c of the inference information 710 is converted into a position on a predetermined map, and the display position is specified.
- FIG. 25 shows that an inference distribution map is created based on four pieces of inference information 710, and that the measurement points of each inference information 710 are identified by “X” on a predetermined map.
- a drawing range and a drawing shape of concentric circles are specified based on the inference value 10a included in each inference information 710 with each measurement point as a center (S412). ).
- the intervals between the concentric circles are the same, and a region value V is set for each concentric circle.
- the area value V is set to a value that is reduced at equal intervals as it goes to the outer concentric circle with the inference value 10a of the measurement point as the vertex.
- the inferred value 10a at the measurement point is "32", and the outer concentric circles are equal to each other, and the area value obtained by subtracting "10" from the rail interval L (10) is set. ing.
- the specification of the drawing range and the drawing shape in S412 is executed for all the measurement points.
- concentric drawing positions and ranges are specified for all measurement points.
- a process of drawing a distribution map using concentric contour lines is performed (S413). Specifically, concentric regions having the same region value are drawn in different colors so as to be filled with the same color. Such a rendering process is performed for all the regions in order from the minimum value to the maximum value of the region values. Performs on a value. As a result, as shown in FIG. 27, an inference distribution map color-coded for each region value is created. By referring to the inference distribution map, it is possible to know in which area (area) multiple users felt strong and “impressed”, and conversely, in which area (multiple users) Area) can be grasped for each area value, etc.
- the following inference distribution map may be created instead of the inference distribution map described above.
- the measurement point is specified based on the position data 10c included in the inference information 710.
- the inference value 10a included in the inference information 710 is set as the measurement value at each measurement point.
- contour lines are displayed according to the magnitude of the measurement value. Therefore, as shown in FIG. 28, an inference distribution map based on the position data 10c can be created.
- the following inference distribution map may be created.
- the measurement point is specified based on the position data 10c included in the inference information 710.
- the magnitude of the temporal change of the inference value 10a at each measurement point is obtained as a temporal change value.
- contour lines are displayed based on the magnitude of the temporal change value at each measurement point.
- the inference information 710 includes the identification information of the user, a plurality of inference distribution maps for each user are created, and a plurality of users are distinguished and displayed in one inference distribution map.
- An inference distribution map can be created.
- an inference distribution map for a user is created in the inference distribution map creation processing (FIG. 23).
- Inference distribution maps can be created from various viewpoints, such as inference values 10a, inference types 10b, location data 10c, and date / time data 10d, depending on the purpose and use of the user.This inference distribution map can be created in various fields. Available.
- mapping the inference information 710 to a map of the disaster occurrence area an inference distribution map in the disaster occurrence area can be created.
- the emotions and consciousness of each user at the time of disaster It is possible to grasp the distribution and the psychological damage situation.
- mapping the inference information 710 to the seating plan at the studio @ concert venue, etc. it is possible to grasp the distribution of emotions and consciousness of each user at the time of the event.
- an inference distribution diagram relating to inference information 710 such as a user's consciousness and emotion is created, and the inference information 710 is created. Distribution can be grasped.
- the inference information creation device is a small portable terminal device carried by the user, as in the first embodiment.
- the inference engine infers the user's consciousness and emotion based on the information measured from the sensor and the switch information input by the user, and outputs the inference information. Is created, and a process corresponding to the characteristic information is executed. Note that the same components as those in the first and second embodiments are denoted by the same reference numerals and description thereof is omitted.
- the configuration of the inference information creating device 801 according to the present embodiment is basically the same as the inference information creating device 1 according to the first embodiment shown in FIG. However, in the present embodiment, the input panel 181 further includes a characteristic-specific processing instruction switch 156 for executing the characteristic-specific processing indicated by the broken line. As in the first embodiment, the inference information creating device 801 infers the user's consciousness and the like by the inference engine based on the sensor information from the body temperature sensor 182, the perspiration sensor 183, and the heart rate sensor 184. Is created, and a process corresponding to the characteristic information is executed.
- the HDD 840 of the computer 11 has an operating system (840S) storage area 141, a program storage area 142, and an information storage area similarly to the HDD 140 according to the first embodiment. 143 and an inference information storage area 144 are provided. In the present embodiment, a characteristic-specific information storage area 145 for storing inference information processed for each characteristic is further provided.
- 840S operating system
- program storage area 142 program storage area 142
- information storage area similarly to the HDD 140 according to the first embodiment.
- 143 and an inference information storage area 144 are provided.
- a characteristic-specific information storage area 145 for storing inference information processed for each characteristic is further provided.
- inference engine IDs which are unique identification information, are stored in advance as constants, respectively.
- Each inference engine can be uniquely specified by the logic engine ID.
- the inference engine ID is basically non-rewritable ro information.
- the inference information creating apparatus 801 includes an “inference information creation process” that creates inference information based on switch information input by a user and a measurement value from each sensor, and an inference that creates inference information.
- the “inference information characteristic processing” that executes processing according to the characteristics of the engine is executed as main processing.
- the “inference information creation process” of the present embodiment is the same as the “inference information creation process” described with reference to FIGS. 4A to 17 in the first embodiment except for S14.
- S14 when S14 is executed as shown in FIG. 31, first, an inference engine ID is acquired, added to the inference data created in the inference data creation process, and inference information is created (S303).
- the inference engine ID is stored in each inference engine stored in the HDD 840, the inference engine set in S3 is referred to, the inference engine ID is acquired, and the inference engine ID is obtained. Will be added.
- inference information 810 is created based on the inference data and the inference engine ID (S304). As shown in FIG.
- the inference information 810 includes at least an inference value 10a, an inference type 10b, and an inference engine IDlOe.
- the inference information 810 created in S304 is stored in the inference information storage area 144 (FIG. 30) of the HDD 840 (S305).
- the inference information ID 810 indicating the source of the inference engine is assigned to the inference information 810, so that the source of the inference engine is clarified.
- the reliability of the information 810 can be improved.
- processing by inference information characteristic will be described with reference to FIG. 33 to FIG.
- Process by inference information characteristic a case will be described in which a user creates a report or the like based on inference information using inference information on which processing by characteristic has been executed.
- the main flowchart (FIG. 33) of the inference information characteristic-based processing is performed when the user instructs the processing from a characteristic-specific processing instruction switch (not shown) on the input panel 181 or every time a predetermined time elapses, or
- a characteristic-specific processing instruction switch not shown
- the process is started. Execution type of this inference information characteristic-specific processing
- the user can arbitrarily set the timing. However, in the present embodiment, it is assumed that the processing is started when the user gives an instruction from the characteristic-specific processing instruction switch of the input panel 181.
- the inference information 810 power to be processed by the characteristic is read out from the inference information storage area 144 (FIG. 30) of the HDD 840 (S21).
- the inference information 810 stored in the inference information storage area 144 may be read, or only a part thereof may be read.
- the user may be able to select the inference information 810 to be read.
- the inference engine IDlOe of the inference information 810 to be processed is obtained (S22).
- the inference information 810 stores the inference engine ID 10e, which is the identification information unique to the inference engine used to create each inference information (FIG. 32). Obtained from 810.
- the characteristic information table 15 includes inference engine ID 15a, reliability 15b, update date 15c, and inference type 15d as data items, and is defined in association with each other in a table format.
- the reliability 15b is data indicating the high precision of the inference engine, and the higher this value is, the more accurate the inference can be made.
- the update date 15c indicates the latest update date of the inference engine, indicating that the newer the date, the more recently created or updated. Therefore, it is possible to grasp the characteristics of the inference engine.
- the inference type 15d indicates the type of the inference method of the inference engine.
- the inference engine of the inference type “88” uses table information (LUT) such as the inference definition tables 13, 113, and 213 (Fig. 8 (a)-(c)) based on the measurement values from the sensors. It is a type that refers to and infers.
- the inference engine of the inference type “BB” is a type in which inference is performed by performing predetermined arithmetic processing on a measurement value from a sensor.
- the inference engine of the inference type “CC” is a type in which measured values from the sensors are collected and inferred according to a predetermined procedure.
- the inference engine of inference type “00” is a hybrid inference type that performs inference by combining multiple methods from the above “AA”, “BB”, and “CC”.
- the property information table 15 contains a definition file for the properties of each inference engine. It is. Therefore, it is assumed that the latest definition file is obtained from the external storage medium or the network by the user or automatically, and the characteristic information table 15 is periodically updated with the latest definition file.
- the inference engine ID 15a, the reliability 15b, the update date 15c, and the inference type 15d are acquired as characteristic information by using the inference engine IDlOe included in the inference information 810 as an index.
- the inference engine 10106 “eighth-0011” is obtained, so the inference engine ID 5a “ABC—0011”, the reliability 15b “20”, Update date 15c "03/12/12” and inference type 15d "AA" are obtained as characteristic information.
- the power to execute the process for each characteristic is determined (S24), and the process for each characteristic is selected based on the determination result.
- the inference engine ID 15a matches the inference engine ID of the preset inference engine.
- the preset inference engine is set in the HDD 840 or the like. However, this setting can be arbitrarily set by a user or a designer, and can be changed as appropriate. If the preset inference engine ID of the inference engine matches the inference engine ID 15a (S421: YES), the inference information 810 is shown in the characteristic information storage area 145 of the HDD 840 (FIG. 30). (S422).
- the inference information 810 is discarded, and the process proceeds to S29 in FIG. As shown in FIG. 36, in characteristic-specific processing B (processing based on reliability), it is determined whether the reliability 15b is “80” or more (S431).
- the inference information 810 is saved in a data file (not shown), as in S422 (S432, if the reliability 15b is "80" or more, In this case (S431: NO), it is determined whether the reliability 15b is “60” or more (S433), and if the reliability 15b is “60” or more (S433: YES), the inference information 810 is stored in the HDD840. (S434), which is stored in an auxiliary data file (not shown) provided in the information storage area 145 (FIG.
- the inference information 810 is discarded, and the process proceeds to S29 in Fig. 33.
- the inference information 810 created by the highly reliable inference engine can be stored in a data file (not shown), and the inference information with relatively high reliability can be stored.
- the inference information 810 created by the engine can be stored in the auxiliary data file, and the user can use this data file and auxiliary data. Fuainore can be selectively used.
- the inference information 810 is data (not shown) provided in the characteristic-specific information storage area 145 (FIG. 30). It is saved in a file (S442).
- update date 15c is older than 3 ⁇ 4 months ago (S441: NO)
- the inference information 810 is discarded, and the process proceeds to S29 in FIG.
- the inference information 810 created by the inference engine with a new update date can be saved in a data file, and the inference information 810 created by the inference engine with a relatively new update date can be saved in an auxiliary data file.
- the data file and the auxiliary data file can be used properly.
- inference type 15d It is determined whether it matches “AA” (S451).
- the inference type is 15c ⁇ S "AA” (S451: YES)
- the inference information 810 is stored in a data file (not shown) provided in the characteristic-specific information storage area 145 (FIG. 30), as in S422. (S452). If inference type 15 (1 is not “AA”, (S451: NO), it is determined whether or not inference type 15d matches “BB” (S453).
- the inference information 810 is discarded, and the flow advances to S29 in FIG.
- the inference information 810 created by the inference engine of the inference type “AA” can be saved in a data file
- the inference information 810 created by the inference engine of the inference type “BB” can be saved in an auxiliary data file.
- the user can classify the inference information 810 into data files and auxiliary data files according to the inference type.
- the characteristic-based processing is executed based on the characteristic information, and the user can obtain the inference information 810. This makes it possible to obtain useful and convenient data when preparing reports and the like based on the data. Since only necessary information can be obtained, data can be used effectively.
- the processing for each characteristic is performed on types such as earthquake, emotion, consciousness, situation, event, atmosphere, object, and subject, the ability to accurately grasp the user's psychological state in each type S That's a word.
- the force S obtained by performing the above-described characteristic-based processing (S25, S26, S27, S28) on the inference information 810 is not limited thereto.
- processing by characteristics S25, Instead of (S26, S27, S28)
- the inference information 810 may be classified for each file, or the inference information 810 may be processed or modified, or may be processed into one document.
- various processes may be enabled, and a user or a designer may be able to arbitrarily set an optimal process.
- the inference engine has a unique inference engine IDlOe, but each inference mode may be configured to have an ID which is its unique identification information. Then, the ID of the inference mode (S7-S13) used to create the inference information 810 is included in the inference information 810, and the characteristic-based processing is executed based on the characteristic information corresponding to the ID. Good les ,.
- the inference information management system 900 is a system in which an inference information creation device, which is a small portable terminal device carried by a user, and an inference information management device, which is a fixed computer device, are connected via a network. is there.
- inference information created by each of the plurality of inference information creation devices is collected by the inference information management device via a network, and the inference information management device 900 An example in which a process for each characteristic is executed by using the method will be described.
- each of a plurality of inference information creation devices 901 and the inference information management device 3 are connected via a network 90.
- the network 90 only needs to be effectively connected so that data can be transmitted and received between the terminals regardless of whether they are wired or wireless.
- each inference information creation device 901 has the same configuration as the inference information creation device 701 according to the second embodiment.
- the inference information management device 3 (FIG. 20) has basically the same configuration as the inference distribution creation device 2 of the second embodiment.
- the characteristic information table 15 described with reference to FIG. 34 is stored in an information storage area (not shown) of the HDD 240. It is remembered.
- the mouse 281 or the keyboard 282 also functions as the characteristic-specific processing instruction switch 156.
- the inference information creation device 901 creates inference information based on switch information input by a user and measurement values from each sensor.
- the inference information management device 3 performs “inference information characteristic-specific processing” in which the inference information management device 3 executes processing according to the characteristics of the inference engine that created the inference information.
- the “inference information creation process” is the same as the “inference information creation process” described with reference to FIG. 4 (a) and FIG. 17 in the first embodiment except that S14 is executed as described below. Are identical.
- an inference engine ID is obtained (S306).
- position data indicating the current position is obtained by referring to the GPS receiver 185 (S307), and date and time data indicating the current date and time is obtained by referring to the timer 190 (S308).
- inference information 910 (FIG. 41) is created based on the inference data, the inference engine ID acquired in S306, the position data acquired in S307, and the date and time data acquired in S308 (S309).
- the inference information created in S304 is transmitted to the inference information management device 3 via the communication unit 170 and the network 90 (S310).
- the execution timing of the transmission process in S310 is not limited to when the inference information 910 is created, and the inference information 910 created in S309 is stored in the inference information storage area 144 (FIG. 30) of the HDD 840.
- the transmission process of S310 may be executed at predetermined intervals or when there is an instruction from the user.
- the “process by inference information characteristic” of the present embodiment is the same as the “process by inference information characteristic” of the third embodiment described with reference to FIG. 33 except that S20 is added. Note that, in the present embodiment, when the inference information management device 3 receives the inference information 910 transmitted from the inference information creation device 901, the present process is started.
- inference information 910 transmitted via the network 90 is received by the communication interface 291, and the inference (not shown) of the HDD 240 is performed. It is stored in the information storage area (S20). Subsequent processing is the same as the processing (S21 and S29) shown in FIG. [0192] Note that the execution timing of S21-S29 is not limited to when the inference information 910 is received in S20, and is executed at predetermined intervals after the inference information 910 received in S20 is stored in the inference information storage area of the HDD 240. Alternatively, when there is an instruction from the user, the processing of S21-S29 may be executed.
- the inference information 910 has position data 10c and date / time data 10d. Therefore, if the inference distribution map creation drawing process of the second embodiment can be performed based on the inference information 910 subjected to the above-described characteristic-based processing, the position data 10c, and the date-and-time data 10d, the inference distribution map for each characteristic is obtained. Can be created. Therefore, users can obtain useful and accurate inference distribution maps. Further, in the present embodiment, only the process for each characteristic may be performed without adding the position data 10c and the date and time data 10d to the inference information 910.
- the inference information 910 created by the inference information creation device 901 is collected and managed by the inference information management device 3.
- the inference information management device 3 executes a process according to the characteristics. Therefore, the inference information creation device 901 that executes the “inference information creation process” and the inference information management device 3 that executes the “inference information characteristic-based process” can be configured independently of each other.
- the inference information management system 900 can be configured. In addition, it is possible to clarify the source of the inference engine, increase the reliability of the inference information 910, and expand the range of use.
- the inference information creation device is also a small portable terminal device carried by the user.
- the inference information creation device creates inference information from switch information input by a user, various types of biological information measured from a biological sensor, and various types of environmental information measured from an environmental sensor. Is done. Note that the same components as those in the first to fourth embodiments are denoted by the same reference numerals and description thereof is omitted.
- the inference information creating apparatus 1001 according to the present embodiment is basically the same as the inference information creating apparatus 1 according to the first embodiment shown in FIG.
- the input detection unit 180 includes a physiological or physical biological reaction of the user.
- a biological sensor 160 that measures various types of biological information related to the user and an environmental sensor 171 that measures various types of environmental information regarding external environmental factors that may affect the user and each sensor are connected.
- the biological sensor 160 includes a body temperature sensor 182 for measuring the body temperature of the user, a sweat sensor 183 for measuring the sweating state of the user, and a heart rate of the user, similar to the first embodiment.
- a heart rate sensor 184 for measuring is provided.
- a temperature sensor 172 for measuring the temperature in the atmosphere a humidity sensor 173 for measuring the humidity in the atmosphere, and an amount of luminous flux per unit area of the surface to which the light is applied.
- An illuminance sensor 174 for measuring is provided.
- the position and measurement method of the temperature sensor 172, the humidity sensor 173, and the illuminance sensor 174 are not limited as long as the temperature, humidity, and illuminance surrounding the user can be effectively measured.
- a reading unit for each sensor is provided on the outer surface of the inference information creating device 1001.
- the temperature sensor 172 measures the temperature in the range of 0 to 50 ° C
- the humidity sensor 173 measures the humidity in the range of 0 to 100% RH
- the illuminance sensor 174 measures the temperature. Illuminance in the range of 0—10000 lux (1 X) is measured.
- Each of the biological sensor 160 and the environment sensor 171 is controlled so as to automatically perform a periodic measurement when the power is turned on and activated in the inference information creation device 1001.
- the measurement value of each sensor is stored in a predetermined storage area inside each sensor.
- the latest measurement value is obtained from the predetermined storage area via the input detection unit 180.
- a measurement value storage area (not shown) for each sensor is provided in the HDD 140 of the inference information creation device 1, and the measurement value of each sensor is stored in the measurement value storage area via the input detection unit 180.
- the inference information creating apparatus 1001 may refer to this measured value storage area to acquire the latest measured value.
- a power reset switch 151 a communication switch 152, an inference mode selection switch 153, and an inference engine selection switch 154 are provided on the input panel 181 in the same manner as in the first embodiment. . Since the input panel 181 is not an essential component, a configuration in which the input panel 181 is omitted is acceptable.
- the computer 11 is remotely connected to an external input device via an interface such as a USB or a network. May be controlled.
- the biological information from the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184, and the environmental information from the temperature sensor 172, the humidity sensor 173, and the illuminance sensor 174 are inferred to create inference information.
- S201 in Fig. 7 is performed as shown in Fig. 44.
- the body temperature, sweat, and heart rate biological measurement values measured by the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 are acquired (S221), and the temperature sensor 172 is acquired.
- environmental measurement values of temperature, humidity, and illuminance measured by the environmental sensors 171 of the humidity sensor 173 and the illuminance sensor 174 are obtained (S222).
- the biological measurement values acquired in S221 are corrected by the environmental measurement values acquired in S222 (S223).
- the following processing is performed as an example of a force capable of performing various processing based on each biological measurement value and each environmental measurement value.
- [measured body temperature after correction] [measured body temperature]-[measured temperature] X
- the heart rate measurement value from the heart rate sensor 184 is referred to together with the illuminance measurement value from the illuminance sensor 174 by referring to a heart rate correction table (not shown) stored in the HDD 140.
- the measured value is specified.
- [corrected heart rate measurement value] corresponding to each combination of [heart rate measurement value] and [illuminance measurement value] is defined in advance.
- [Heart rate measurement value] is [150 beats] and [Illuminance measurement If the [value] is “7000 lux (lx)”, the heart rate correction table is referenced to specify “100 beats”, which is the predefined [measured heart rate value].
- Each of the corrected biological measurement values is set as a biological measurement value (S224). That is, [corrected temperature measurement value], [corrected sweat measurement value], and [corrected heart rate measurement value] are [body temperature measurement value], [sweat measurement value], and [heart rate measurement value, respectively]. ], And in the subsequent processing, inference data is created based on these corrected biological measurement values.
- the biological measurement value from the biological sensor 160 is corrected by the environmental measurement value from the environmental sensor 171 to obtain the environmental information. It is possible to acquire a biological measurement value in which the influence of the factor is reduced. Therefore, based on the corrected biological measurement values, it is possible to create the inference information 10 that accurately reflects the user's consciousness and emotion.
- the inference information creation system 1100 is composed of a small biometric sensor that measures biological information about the user's body and physiology, and a plurality of environmental sensors that measure environmental information surrounding the user. This is a system interconnected by wireless or wired communication with an inference information creation device that is a mobile terminal device.
- the biological measurement value measured by the biological sensor and the environment measurement value measured by the environment sensor are collected by the inference information creation device, and the inference information is collected.
- An example in which it is created will be described. Note that the same configurations as those of the first to fifth embodiments are denoted by the same reference numerals and description thereof will be omitted.
- the inference information creation system 1100 includes an inference information creation device 1101, a biological sensor 160A, and an environment sensor 171A.
- the inference information creating apparatus 1101 is the fifth embodiment except that the biological sensor 160 and the environment sensor 171 are not provided, and the computer 11 is provided with a wireless communication unit 101 for performing short-range wireless communication. This is the same as the inference information creating device 1001 in the form of
- Biometric sensor 160A is independent of inference information creation device 1101, and is provided with inference information creation device 1101.
- the input detection unit 180 of the device 1101 and the biological sensor 160 are not directly connected.
- the biological sensor 160A has a body temperature sensor 182A, a perspiration sensor 183A, and a heart rate sensor 184A.
- Each sensor includes wireless communication units 182a, 183a, and 184a for executing short-range wireless communication with the wireless communication unit 101 provided in the inference information creation device 1101.
- the inference information creation device 1101 and each sensor can be interconnected wirelessly.
- the environment sensor 171A is also independent of the inference information creation device 1101, and the input detection unit 180 of the inference information creation device 1101 and the environment sensor 171 are not directly connected.
- the environment sensor 170A has a temperature sensor 172A, a humidity sensor 173A, and an illuminance sensor 174A.
- Each sensor includes a wireless communication unit 172a, 173a, 174a, respectively, and can be interconnected with the inference information creation device 1101 by short-range wireless communication.
- the inference information creation device 1101 of the present embodiment is configured to acquire various measurement values from the biological sensor 16OA and the environment sensor 171A provided outside.
- each sensor and the inference information creation device 1101 are interconnected by short-range wireless communication. However, if each sensor and the inference information creation device 1101 can be effectively connected, Bluetooth (Bluetooth) (Registered trademark) or a wireless connection based on the 802.11 standard, or a wired connection. On the other hand, each sensor provided outside the inference information creation device 1101 has a unique sensing function according to the measurement target (temperature, humidity, etc.).
- the body temperature sensor 182A includes a control circuit 182b, a measurement unit 182c, a signal processing circuit 182d, a memory unit 182e, and a power supply unit 182f.
- the measurement unit 182c is provided at a position in contact with the skin of the user and measures body temperature, and has the same configuration as the measurement unit 182 of the first to fifth embodiments.
- the signal processing circuit 182d performs an amplification process, a filtering process, and the like on the information read from the measurement unit 182c.
- the memory unit 182e stores the latest body temperature measurement value processed by the signal processing circuit 182d.
- the power supply unit 182f supplies power to each component.
- the control circuit 182b is connected to each component, and forms a sensor main body that controls each component. Further, the wireless communication unit 182a is connected to the control circuit 182b, and transmits the body temperature measurement value stored in the memory unit 182e to the inference information creation device 1101 by wireless communication connection. Sweating sensor 183A, heart rate sensor 184A , The temperature sensor 172A, the humidity sensor 173A, and the illuminance sensor 174A have basically the same configuration as the body temperature sensor 182A.
- FIG. 48 is a main flowchart showing details of the measurement value transmission process. First, the processing executed by each sensor will be described. In each sensor, a measurement value transmission process of measuring biological information or environmental information and transmitting the measurement value to the inference information creating device 1101 is executed.In this embodiment, when each sensor is activated, It is assumed that processing is started.
- each sensor measures biological information or environmental information (S461).
- the reading unit 182c measures the body temperature of the user every predetermined period under the control of the control circuit 182b.
- predetermined signal processing is performed by the signal processing circuit 182d on the information read by the reading unit 182c.
- the signal-processed information is stored in the memory unit 182e as a measured body temperature.
- S461 being executed every predetermined period, the latest measured value is always stored in each sensor.
- the latest body temperature measurement value stored in the memory unit 182e is transmitted to the inference information creation device 1101 by the wireless communication unit 182a. Similarly, in the other sensors, the latest measurement value is transmitted to the inference information creation device 1101 via each wireless communication unit.
- the inference information creation device 1101 performs the processing described with reference to FIG. 44 as S201, as in the fifth embodiment.
- the latest measured value force S from each sensor received via the wireless communication unit 101 is stored in a not-shown measured value storage area for each sensor provided in the HDD 140 of the inference information creation device 1101. . Therefore, the inference information creating apparatus 1101 can acquire the latest measured value by referring to the measured value storage area when performing S221 and S222.
- the measurement value transmission processing shown in FIG. 48 is only an example.
- the inference information creation device 1101 transmits a predetermined request signal to each sensor, and each sensor transmits the latest measurement signal according to the request signal.
- the value may be transmitted to the inference information creation device 1101.
- This may constitute an inference information creation system 1100 that allows the inference information creation device 1101 to acquire the latest measured value. That is, various known techniques can be applied as long as the inference information creation device 1101 can effectively acquire information measured by each sensor.
- the inference information creation system 1100 of the sixth embodiment information measured by the externally provided biological sensor 160A and environment sensor 171A is collected by the inference information creation device 1101. As a result, inference information 10 (FIG. 17) is created. Therefore, it is possible to reduce the weight and size of the inference information creation device 1101 which does not require the biological sensor 160A and the environment sensor 171A to be provided or directly connected to the inference information creation device 1101. Further, since the respective sensors of the biological sensor 160A and the environment sensor 171A and the inference information creation device 1101 can be configured independently of each other, the inference information creation system 1100 can be configured more freely and flexibly.
- the inference information management system 1200 is a system in which an inference information creation device that is a small portable terminal device carried by a user and an inference information management device that is a fixed computer device are connected via a network. is there.
- inference information created by each of the plurality of inference information creation devices is collected by the inference information management device via a network, and the inference information management device The case where the inference information is managed collectively is illustrated. Note that the same components as those in the first and sixth embodiments are denoted by the same reference numerals and description thereof is omitted.
- each of a plurality of inference information creation devices 1201 and the inference information management device 3 are connected via a network 90.
- the network 90 is effectively connected so that data can be transmitted and received between the terminals regardless of whether they are wired or wireless.
- each of the inference information creation apparatuses 1201 is of the fifth embodiment except that it has a communication unit 170 for connecting to an external network 90 (FIG. 43). It has the same configuration as.
- the inference information creation device 1101 (FIG. 46) of the sixth embodiment can be used as the inference information creation device 1201 of the present embodiment if the communication unit 170 is provided.
- the inference information creation device 1201 performs "inference information creation process", and the inference information management device 3 performs "inference information management process”.
- the “inference information creation processing” is the same as that of the first embodiment except that S201 is performed as shown in FIG. 44 and S14 is performed as described below with reference to FIG. 51. 4 (a) —the same as the inference information creation process in FIG.
- inference information output process (S14) As shown in FIG. 51, in the inference information output process (S14), as in S301 of FIG. 16, first, based on the inference data created in the inference data creation process (S7 S13, ⁇ ⁇ ). Re, inference information 10 (FIG. 17) is created (S321). Then, the inference information 10 created in S321 is transmitted from the communication unit 191 to the inference information management device 3 via the network 90 (S322) 0
- the execution timing of the transmission process in S322 is not limited to when the inference information 10 is created, and the inference information 10 created in S321 is stored in the inference information storage area 144 of the HDD 140 (Fig. 3).
- the transmission process of S322 may be executed at predetermined intervals or when there is an instruction from the user.
- the inference information management device 3 executes inference information management processing for receiving and managing the inference information 10 transmitted from each inference information creation device 1201.
- the present process is started.
- the inference information 10 transmitted via the network 90 is received by the communication interface 291 (S501).
- the inference information 10 received in S501 is processed for each characteristic of the inference information 10 (S502).
- the processing is executed.
- the inference information 10 may be sorted for each user, or may be sorted in order of creation date and time.
- the content of the processing executed in S502 can be arbitrarily set by a designer or a user.
- the inference information 10 after the processing is stored in an inference information storage area (not shown) of the HDD 240 (S503).
- the execution timing of S502 is not limited to the time when the inference information 10 is received in S501, and is executed every predetermined period or after the inference information 10 received in S501 is stored in the inference information storage area of the HDD 240. If there is an instruction from the user, the process of S502 may be executed. If there is no need to perform the process for each characteristic on the inference information 10, S502 may not be executed.
- the inference information 10 created by the inference information creation device 1201 is collected and managed by the inference information management device 3. Therefore, the inference information creation device 1201 that creates the inference information 10 and the inference information management device 3 that stores and manages the inference information 10 can be configured independently, and the inference information management system 1200 can be configured more flexibly. it can.
- the present invention is not limited to the above-described first to seventh embodiments, and that various modifications are possible.
- the inference information about the user is “impression”, “sadness”, and “joy” is described as an example, but the inference information is other than the user's consciousness and emotion. It also indicates the context of an event or the context of a situation, such as the atmosphere or importance, and cannot be grasped only by facts or evidence, and does not describe an abstract concept (also called context). It may be information. Therefore, inference information may be created for “anger”, “fun”, “buzz”, “busy”, and the like.
- the inference definition table 13 corresponding to the inference target of each inference information may be set. For example, if you want to create inference information based on a user's "fun", an inference definition table corresponding to "fun" should be set.
- a table for an arbitrary inference object may be set by a user or a designer, or a plurality of tables corresponding to each of a plurality of inference objects may be set.
- the optimal table may be set in advance and automatically selected in the inference execution process S111 (FIG. 7) based on the sensor measurement value.
- time series data of force sampling values which are obtained by measuring the sampling values and calculating the average value as a reference value, are acquired, and the characteristic of the transition is obtained.
- the reference value may be calculated based on The reference value may be calculated by excluding abnormal sampling values.
- a change threshold value ⁇ is provided for each sensor, and the threshold value is corrected by the change threshold value ⁇ .
- the comparison with the measurement value from each sensor may be executed.
- the change threshold ⁇ is set as an error allowable range, and about 5% of the threshold is set.
- the state change is determined by comparing the measured value from each sensor with a threshold, but a predetermined reference value is subtracted from the measured value from each sensor to obtain an increment value. The state change may be determined by comparing whether the increment value is greater than the threshold value vj.
- the information input by the user is not limited to the switch information from the communication switch 152, but may be a character input or a command input from an input panel or a keyboard, or a selection from a menu screen by a mouse.
- various means can be applied. In other words, any means can be used as long as the user can input and transmit predetermined information on his own will.
- the body temperature sensor 182 the perspiration sensor 183, the heart rate sensor
- the measurement values from each sensor are not limited to body temperature, sweating and heart rate.
- the vibration, brain wave, respiration, acceleration, inclination, biorhythm, etc. of the user may be measured from the user.
- the sensors the body temperature sensor 182, the sweat sensor 183, the heart rate sensor 184) and the input panel 181 do not need to be integrated with the inference information creating device 1 and need to be connected via an interface such as a USB or a network. It is only necessary that a remote connection can be made to the input detection unit 180 to effectively obtain measured values and input information.
- the inference information creation device 701 acquires position data using the GPS receiver 185, but if the current position can be specified effectively, another The position data may be obtained by a method. For example, by equipping the inference information creation device 701 with an interrogator (RFID tag reader) of an RFID system, a predetermined request is issued to acquire the position data of a nearby transponder (RFID tag) force. You can.
- RFID tag reader RFID tag reader
- RFID tag transponder
- an ultrasonic oscillation / receiver is provided in the inference information creating apparatus 701, a predetermined oscillation is performed on a reference object whose position is known, and when reflection from the reference object is received, the forward wave The time difference may be calculated to obtain the difference from the reference position, and the differential force position information may be obtained.
- a plurality of inference distribution diagram creation devices 2 may be provided in the inference distribution diagram creation system. Further, the inference information creation device 701 and the inference distribution diagram creation device 2 may be configured as an integrated device. Conversely, the number of inference information creation devices 701 may be one. In addition, since the display 261, the microphone 271, the speaker 272, the mouse 281, and the keyboard 282 are not necessarily required in the inference distribution map creation device 2, an external display device, a microphone, Remote control may be performed by connecting remotely to a speaker or the like.
- an inference engine ID 15a, a reliability 15b, an update date 15c, and an inference type 15d are defined in the characteristic information tape file 15.
- the characteristic information is not limited to these items.
- various characteristics such as the manufacturer and version information of the inference engine and the inference contents can be defined by the user or the designer at will.
- the inference engine may be implemented as software (programs) or as hardware such as electric circuits and device devices.
- the characteristic-based processing can be performed on at least one or more items of the force-defined characteristic information, which can perform the characteristic-based processing for all the characteristic information defined in the characteristic information table 15. It is good to configure it.
- the inference information from another inference engine may be obtained again, or the inference information may be converted to an appropriate value by performing correction using an appropriate correction value.
- the biological measurement value is corrected with the environmental measurement value.
- inference data is created based on the corrected biological measurement values, other methods may be applied as long as inference information with reduced effects of environmental factors can be finally created. Les ,.
- inference data or inference information may be created based on biological measurement values, and the inference data / inference information may be corrected based on environmental measurement values.
- the biological measurement value from the biological sensor 160 is corrected by the biological measurement value from the environment sensor 171 to remove the influence of environmental factors from the biological measurement value.
- the measurement value may be set by another method (S223).
- a table may be provided in advance that defines the corrected biometric value corresponding to each combination of the biometric value and the environmental measured value, and the corrected biometric value may be obtained by referring to this table. Les ,.
- the biological measurement value from biological sensor 160 is not limited to body temperature, sweating, and heart rate.
- the vibration, brain wave, respiration, acceleration, inclination, biorhythm, etc. of the user may be measured from the user.
- the environmental measurement value from the environmental sensor 171 is not limited to temperature, humidity, and illuminance.
- noise, air pressure, wind speed, seismic intensity, etc. may be measured from the surrounding environment.
- one or more sensors can be arbitrarily provided as biological sensor 160, and one or more sensors can be arbitrarily provided as environmental sensor 160.
- the display 261, the microphone 271, the speaker 272, the mouse 281 and the keyboard 282 are not necessarily required.
- the remote control may be performed by remotely connecting to an external display device, microphone, speaker, or the like via the interface.
- the inference information management system includes
- the inference information creation devices 901 and 1201 and the inference information management device 3 may be configured as a device. Conversely, one inference information creation device 901 or 1201 may be provided.
- an inference information creation device including a measurement value acquisition unit, an inference data creation unit, an identification information addition unit, and an inference information output unit.
- the measurement value acquisition means acquires a measurement value from at least one sensor.
- the inference data creating unit is configured to perform the measurement acquired by the measurement value acquiring unit. Based on the value, inference data that is an index value different from the measurement value is created.
- the identification information adding means adds identification information unique to the inference data creation means to the inference data.
- the inference information output means outputs inference information including inference data to which identification information has been added.
- inference data that is an index value different from the measurement value is created based on the measurement value acquired from each sensor, and identification information unique to the inference data creation means is generated. Inference information including the added inference data is output. Therefore, the source of the inference data creation means can be clarified, and the reliability of the inference information created based on the information measured from the sensor can be increased.
- the inference information creating apparatus further includes a characteristic information table and a characteristic information acquiring unit.
- the characteristic information table stores identification information of the inference data creation unit and characteristic information indicating characteristics of the inference data creation unit in association with each other.
- the characteristic information acquiring means acquires characteristic information corresponding to the identification information included in the inference information output by the inference information output means from the characteristic information table.
- the identification information of the inference data creation unit and the characteristic information indicating the characteristics of the inference data creation unit are provided in association with each other, and the characteristic information table is stored.
- the characteristic information of the inference data creating means that created the is obtained. Therefore, the source and characteristics of the inference data creation means can be grasped.
- the characteristic information includes at least one of the reliability of the inference data creation means, the latest update date, and the inference type.
- the characteristic information includes the reliability of the inference data creation unit, the latest update date, and the inference type, it is possible to grasp the source and characteristics of the inference data creation unit.
- the inference information creation device includes a processing procedure selection unit and an inference information processing unit in addition to the configuration of the inference information creation device.
- the processing procedure selection means includes at least one processing procedure executed for the inference information, and selects one processing procedure from a plurality of processing procedures based on the characteristic information acquired by the characteristic information acquiring means. Select.
- the inference information processing means processes the inference information output by the inference information output means based on the processing procedure selected by the processing procedure selection means.
- one of a plurality of processing procedures is selected based on the characteristic information, and the processing is executed according to the processing procedure. Therefore, a process according to the characteristics of the inference information is executed, and the use range of the inference information can be expanded.
- the inference information management system includes an inference information creation device that creates inference information of a user based on measurement values obtained from at least one sensor, and an inference information created by the inference information creation device.
- An inference information management system that manages information can provide an inference information management system connected via a network.
- the inference information creation device includes a measurement value acquisition unit that acquires a measurement value from the sensor, and inference data that creates inference data that is an index value different from the measurement value based on the measurement value acquired by the measurement value acquisition unit.
- the system comprises: a creation unit; an identification information adding unit that adds identification information unique to the inference data creation unit to the inference data; and an inference information output unit that outputs inference information including the inference data to which the identification information is added.
- the inference information management device includes: inference information acquisition means for acquiring inference information output from the inference information creation device via a network; inference information storage means for storing inference information acquired by the inference information acquisition means; The characteristic information table that stores the identification information of the inference data creation means and the characteristic information indicating the characteristics of the inference data creation means in association with each other, and the identification information included in the inference information output by the inference information output means And a characteristic information acquiring means for acquiring corresponding characteristic information from the characteristic information table.
- inference information is collected by an inference information management device from an inference information creation device that creates inference information about a user, and the inference information management creation device generates identification information included in the inference information.
- the characteristic information is obtained based on. Therefore, the source of the inference data creation means can be clarified, and the reliability of the inference information created based on the information measured from the sensor can be increased.
- the inference information management system preferably includes the characteristic information including at least one of the reliability of the inference data creation means, the latest update date, and the inference type.
- the characteristic information includes the reliability of the inference data creation means, the latest update date, Since the inference type is included, the source and characteristics of the inference data creation means can be grasped.
- the inference information management system further includes at least one or more processing procedures executed for the inference information, and the inference information management device performs processing based on the characteristic information acquired by the characteristic information acquisition unit.
- Means for selecting one processing procedure from a plurality of processing procedures, and inference information for processing the inference information output by the inference information output means based on the processing procedure selected by the processing procedure selection means Preferably, processing means is provided.
- one of a plurality of processing procedures is selected based on the characteristic information, and the processing is executed according to the selected processing procedure. Therefore, a process according to the characteristics of the inference information is performed, and the range of use of the inference information can be expanded.
- the inference information management system further includes first communication interface means for executing data transmission / reception with the inference information management device wirelessly or by wire, and the inference information management means includes: It is preferable that the acquisition unit includes a second communication interface unit for executing data transmission / reception with the inference information creation device wirelessly or by wire.
- the inference information creation device and the inference information management device each have the interface means for transmitting and receiving data. Therefore, the inference information creation device and the inference information management device are separately provided.
- the device can be connected via a network.
- the computer is configured to use a measurement value obtaining unit that obtains a measurement value from at least one or more sensors, and an index value different from the measurement value based on the measurement value obtained by the measurement value obtaining unit.
- Inference data creation means for creating inference data
- identification information addition means for adding identification information unique to the inference data creation means to inference data
- inference information output for outputting inference information including inference data with identification information added
- inference data that is an index value different from the measurement value is created based on the measurement value obtained from each sensor, and identification information unique to the inference data creation means is generated. Inference information including the added inference data is output. Therefore, the inference data generator By clarifying the source of the step, the reliability of the inference information created based on the information measured from the sensor can be improved.
- an inference information creation device that includes a biological information acquisition unit, an environment information acquisition unit, an inference data creation unit, and an inference information output unit.
- the biological sensor measures biological information of the user.
- the biological information acquisition means acquires biological information.
- the environmental information obtaining means obtains the environmental information from an environmental sensor that measures the environmental information.
- the inference data creation unit is configured to generate inference data that is an index value different from the biological information and the environment information based on the biological information acquired by the biological information acquisition unit and the environment information acquired by the environment information acquisition unit.
- Create The inference information output means outputs inference information including the inference data created by the inference data creation means.
- inference data that is an index value different from the biological information and the environmental information is created based on the biological information obtained from the biological sensor and the environmental information obtained from the environmental sensor. Inference information including this inference data is output. Therefore, highly accurate inference information in which the influence of environmental factors is reduced can be created based on the biological information from the biological sensor and the environmental information from the environmental sensor.
- the inference data creation unit corrects the biological information with the environment information, and creates the inference data based on the corrected biological information.
- the biological information is corrected by the environmental information, and the inference data is created based on the corrected biological information. Therefore, even if the user or the biosensor is affected by environmental factors, the biometric information is corrected by the environmental information, so that it is possible to create highly accurate inference information in which the influence of the environmental factors is further reduced. .
- the biological information obtaining means obtains biological information regarding at least one of the user's body temperature, heart rate, sweating, and respiration measured by the biological sensor.
- At least one of the user's body temperature, heart rate, sweating, and respiration is measured by the biological sensor, so that inference data about the user can be accurately inferred.
- the environment information obtaining means obtains environment information on at least one of the temperature, humidity, and illuminance measured by the environment sensor. According to a powerful configuration, since at least one of the ambient temperature, humidity, and illuminance is measured by the environment sensor, inference data regarding the user can be accurately inferred.
- the biological information obtaining means is first interface means which is an interface for obtaining the biological information from a biological sensor via a wireless or wired network
- the environmental information obtaining means is a wireless interface.
- it is preferably a second interface means which is an interface for acquiring environmental information from an environmental sensor via a wired network.
- the first interface means which is an interface for acquiring biological information from a biological sensor via a wireless or wired network
- the wireless or wired network via
- a second interface which is an interface for acquiring environmental information from environmental sensors. Therefore, biological information can be effectively obtained from an external biological sensor, and environmental information can be effectively obtained from an external environmental sensor.
- a biological sensor for measuring the biological information of the user an environmental sensor for measuring the environmental information, and the biological information acquired from the biological sensor and the environmental information acquired from the environmental sensor.
- An inference information creation device that creates inference information of the user based on the network can provide an inference information creation system connected via a network.
- the biological sensor includes biological information measuring means for measuring biological information, and biological information transmitting means for transmitting the biological information measured by the biological information measuring means to the inference information creating device.
- the environment sensor includes environment information measurement means for measuring environment information, and environment information transmission means for transmitting the environment information measured by the environment information measurement means to the inference information creation device.
- the inference information creation device receives the biological information transmitted from the biological sensor and obtains the biological information, and an environment that receives the environmental information transmitted from the environmental sensor and obtains the environmental information.
- An inference that is an index value different from the biological information and the environmental information based on the biological information acquired by the information acquiring means, the biological information acquired by the biological information acquiring means, and the environmental information acquired by the environmental information acquiring means.
- the system includes inference data creation means for creating data, and inference information output means for outputting inference information including the inference data created by the inference data creation means.
- the biometric sensor, the environment sensor, and the inference information creation device are each independently provided.
- the inference information creation device creates inference information based on biological information and environmental information acquired from external sensors. Therefore, highly accurate inference information with reduced influence of environmental factors can be created based on biological information and environmental information, and an inference information creation system can be configured in a free and flexible manner.
- a computer may be used to obtain a biological information from a biological sensor that measures the biological information of a user, a biological information obtaining unit that obtains the biological information, and an environmental information that obtains the environmental information from an environmental sensor that measures the environmental information.
- Means based on the biological information acquired by the biological information acquiring means, and the environmental information acquired by the environmental information acquiring means, based on the biological information and inference data that is an index value different from the environmental information.
- An inference information creation program that functions as inference data creation means to be created and inference information output means to output inference information including the inference data created by the inference data creation means can be provided.
- inference data that is an index value different from the biological information and the environmental information is created based on the biological information acquired from the biological sensor and the environmental information acquired from the environmental sensor. Inference information including this inference data is output. Therefore, highly accurate inference information in which the influence of environmental factors is reduced can be created based on the biological information from the biological sensor and the environmental information from the environmental sensor.
- the inference information creation device, the inference distribution diagram creation system, the inference information management system, the inference information creation system, and the inference information creation program of the present invention can be applied to a computer device for inferring a user's consciousness, emotion, and the like. .
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Psychiatry (AREA)
- Multimedia (AREA)
- Child & Adolescent Psychology (AREA)
- Human Computer Interaction (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Developmental Disabilities (AREA)
- Educational Technology (AREA)
- Hospice & Palliative Care (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Endocrinology (AREA)
- Gastroenterology & Hepatology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
Claims
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/467,056 US20070022074A1 (en) | 2004-02-25 | 2006-08-24 | Inference Information Creating Device |
Applications Claiming Priority (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2004049583A JP2005242541A (ja) | 2004-02-25 | 2004-02-25 | 推論情報作成装置、推論分布図作成システム及び推論情報作成プログラム |
JP2004-049583 | 2004-02-25 | ||
JP2004060760A JP2005245764A (ja) | 2004-03-04 | 2004-03-04 | 推論情報作成装置、推論情報管理システム及び推論情報作成プログラム |
JP2004-060760 | 2004-03-04 | ||
JP2004-071465 | 2004-03-12 | ||
JP2004071465A JP2005253791A (ja) | 2004-03-12 | 2004-03-12 | 推論情報作成装置、推論情報作成システム及び推論情報作成プログラム |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/467,056 Continuation-In-Part US20070022074A1 (en) | 2004-02-25 | 2006-08-24 | Inference Information Creating Device |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2005081185A1 true WO2005081185A1 (ja) | 2005-09-01 |
Family
ID=34890894
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2005/002735 WO2005081185A1 (ja) | 2004-02-25 | 2005-02-21 | 推論情報作成装置、推論情報管理システム、推論情報作成システム、推論情報作成プログラム、推論情報作成プログラムをコンピュータに読取可能に記録した記録媒体、及び推論情報の作成方法 |
Country Status (2)
Country | Link |
---|---|
US (1) | US20070022074A1 (ja) |
WO (1) | WO2005081185A1 (ja) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007030810A2 (en) | 2005-09-09 | 2007-03-15 | New Paradigm Concepts, Llc. | Multiparameter whole blood monitor and method |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW200912795A (en) * | 2007-09-04 | 2009-03-16 | Ind Tech Res Inst | Context inference system and method thereof |
DE212009000019U1 (de) * | 2008-01-10 | 2010-09-02 | Sound Id, Mountain View | Persönliches Schallsystem für die Anzeige eines Schalldruckpegels oder einer anderen Umgebungsbedingung |
US9612654B2 (en) * | 2008-10-20 | 2017-04-04 | Koninklijke Philips N.V. | Controlling an influence on a user in a rendering environment |
KR101303648B1 (ko) * | 2009-12-08 | 2013-09-04 | 한국전자통신연구원 | 감성신호 감지 장치 및 그 방법 |
KR101262922B1 (ko) * | 2009-12-10 | 2013-05-09 | 한국전자통신연구원 | 감성 변화에 따른 감성지수 결정 장치 및 그 방법 |
KR20170056635A (ko) * | 2014-09-15 | 2017-05-23 | 쓰리엠 이노베이티브 프로퍼티즈 캄파니 | 손상 검출 |
US11416129B2 (en) * | 2017-06-02 | 2022-08-16 | The Research Foundation For The State University Of New York | Data access interface |
US10650616B2 (en) * | 2018-04-06 | 2020-05-12 | University Of Connecticut | Fault diagnosis using distributed PCA architecture |
US11766183B2 (en) * | 2020-05-13 | 2023-09-26 | Geoffry Weng Leng TAN | System and method for analyzing a physiological condition of a user |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003240320A (ja) * | 2002-02-18 | 2003-08-27 | Toshiba Corp | 空気調節システムおよび安眠装置 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5199439A (en) * | 1990-01-16 | 1993-04-06 | Stanley Zimmerman | Medical statistical analyzing method |
US5319355A (en) * | 1991-03-06 | 1994-06-07 | Russek Linda G | Alarm for patient monitor and life support equipment system |
US5778882A (en) * | 1995-02-24 | 1998-07-14 | Brigham And Women's Hospital | Health monitoring system |
EP1278165A4 (en) * | 2000-03-31 | 2005-11-30 | Hitachi Construction Machinery | SYSTEM FOR CALCULATING THE RENT OF A CONSTRUCTION MACHINE |
-
2005
- 2005-02-21 WO PCT/JP2005/002735 patent/WO2005081185A1/ja active Application Filing
-
2006
- 2006-08-24 US US11/467,056 patent/US20070022074A1/en not_active Abandoned
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003240320A (ja) * | 2002-02-18 | 2003-08-27 | Toshiba Corp | 空気調節システムおよび安眠装置 |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9131855B2 (en) | 2003-09-18 | 2015-09-15 | New Paradigm Concepts, Llc. | Multiparameter whole blood monitor and method |
WO2007030810A2 (en) | 2005-09-09 | 2007-03-15 | New Paradigm Concepts, Llc. | Multiparameter whole blood monitor and method |
EP1942797A2 (en) * | 2005-09-09 | 2008-07-16 | New Paradigm Concepts, LLC. | Multiparameter whole blood monitor and method |
EP1942797A4 (en) * | 2005-09-09 | 2012-06-20 | New Paradigm Concepts Llc | MULTIPARAMETRIC TOTAL BLOOD MONITOR AND METHOD THEREOF |
Also Published As
Publication number | Publication date |
---|---|
US20070022074A1 (en) | 2007-01-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2005081185A1 (ja) | 推論情報作成装置、推論情報管理システム、推論情報作成システム、推論情報作成プログラム、推論情報作成プログラムをコンピュータに読取可能に記録した記録媒体、及び推論情報の作成方法 | |
CN110192248B (zh) | 语音输入处理方法和用于支持该方法的电子设备 | |
KR102408028B1 (ko) | 착용 상태에 기반한 생체 정보 획득 방법 및 그 전자 장치 | |
US20200265744A1 (en) | Electronic device including meditation application | |
US9844103B2 (en) | Cooking assistance device, cooking assistance method, and cooking assistance system | |
KR102594947B1 (ko) | 명상 콘텐츠를 제공하기 위한 전자 장치 및 그의 동작 방법 | |
KR102399533B1 (ko) | 사용자의 활동에 대응하는 스트레스 지수를 제공하는 방법 및 전자 장치 | |
KR20190021113A (ko) | 전자 장치 및 그의 스트레스 측정 방법 | |
CN107149476B (zh) | 信息终端装置的控制方法、体动测定装置以及程序 | |
US20170156659A1 (en) | Device, shoes, insoles and method for correcting walking and standing postures | |
WO2021054461A1 (ja) | ゲームプログラム、方法、情報処理装置 | |
US20170086710A1 (en) | Activity amount measuring apparatus, activity amount measuring method, and activity amount measuring program | |
US10957295B2 (en) | Sound generation device and sound generation method | |
US20160051185A1 (en) | System and method for creating a dynamic activity profile using earphones with biometric sensors | |
CN113613553B (zh) | 测量血压的电子设备和测量血压的方法 | |
US11596764B2 (en) | Electronic device and method for providing information for stress relief by same | |
JP7401634B2 (ja) | サーバ装置、プログラムおよび方法 | |
EP4140402A1 (en) | Blood pressure measurement method and electronic device | |
US11730377B2 (en) | Electronic device and method for providing information on cardiovascular state of user | |
US20190313916A1 (en) | Electronic device and method of controlling electronic device | |
KR102489072B1 (ko) | 조도를 측정하기 위한 전자 장치 및 그의 동작 방법 | |
JP2005253791A (ja) | 推論情報作成装置、推論情報作成システム及び推論情報作成プログラム | |
KR20190131306A (ko) | 혈압 측정을 위한 전자 장치 및 그의 동작 방법 | |
US20200237295A1 (en) | Method for calculating recovery index based on rem sleep stage and electronic device thereof | |
JP2005275960A (ja) | 対象物特定装置、対象物特定システム及び人気投票システム |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NA NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): BW GH GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LT LU MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
WWE | Wipo information: entry into national phase |
Ref document number: 11467056 Country of ref document: US |
|
WWP | Wipo information: published in national office |
Ref document number: 11467056 Country of ref document: US |
|
122 | Ep: pct application non-entry in european phase |