Supervision system

Abstract

To provide a supervision system that can visualize work efficiency and enables work management for a user to be performed appropriately.SOLUTION: A supervision system according to the present disclosure includes: a biological information sensor that senses biological information about a user; object person state sensing means for sensing a concentration level or feeling level of the user from the biological information; calculation means for calculating a score using a value obtained by multiplying the concentration level or feeling level by a work time; and notification means for enabling notification of the score to the user or a family member of the user.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a monitoring system. [Background technology]

[0002] The following Patent Document 1 discloses a biometric information processing device including a derivation unit that derives emotional information of a target organism based on at least one of biometric information and behavioral information obtained from the target organism while it is performing a specific task, and a classification unit that classifies the emotional information obtained by the derivation unit based on a predetermined classification index. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-153232 A Summary of the Invention [Problem to be solved by the invention]

[0004] There was no system that notified users of appropriate tasks and appropriate times for tasks such as studying, working, or hobbies, and there was a risk of users becoming fatigued or losing their mental health by performing tasks that were not suitable for them.

[0005] The present disclosure has been made to solve the above-mentioned problems. An object of the present disclosure is to provide a monitoring system that makes it possible to visualize work efficiency and appropriately manage the work of a user. [Means for solving the problem]

[0006] The monitoring system according to the present disclosure includes a biometric sensor that detects a user's biometric information, a subject state detection means that detects the user's level of concentration or emotionality from the biometric information, a calculation means that calculates a score using a value obtained by multiplying the level of concentration or emotionality by the work time, and a notification means that can notify the user or the user's family of the score. Effect of the Invention

[0007] According to the present disclosure, it is possible to provide a monitoring system that makes it possible to visualize work efficiency and appropriately manage users' work. [Brief description of the drawings]

[0008] [Figure 1] 1 is a diagram showing a watching system according to a first embodiment. [Diagram 2] 4 is a flowchart showing an example of processing executed by the watching system according to the first embodiment. [Diagram 3] 2 is a diagram illustrating an example of a configuration for implementing functions of the information processing device in the first embodiment. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, the embodiments will be described with reference to the drawings. In each drawing, the same reference numerals are used to denote common or corresponding elements, and the description is simplified or omitted. The configurations shown in the embodiments below are examples of the technical ideas related to the present disclosure, and may be combined with other known technologies, or multiple technical ideas described in the present disclosure may be combined. In addition, it is also possible to omit or modify a part of the configuration without departing from the gist of the present disclosure.

[0010] Embodiment 1 FIG. 1 is a diagram showing a monitoring system according to a first embodiment. As shown in FIG. 1, the monitoring system 1 of the present embodiment includes a biometric sensor 2, an information processing device 3, and a notification device 4. The biometric sensor 2 detects at least one of biometric information such as the user's heart rate, heart rate fluctuation, respiratory rate, respiratory rate fluctuation, respiratory depth, blood pressure, pulse wave, brain wave, cerebral blood flow, pupil diameter, nasal temperature, eye blink, gaze movement, and body movement. The biometric sensor 2 may be a wearable sensor or a sensor that detects without contact.

[0011] In this embodiment, the main users of the watching system 1 are assumed to be children, pupils or students, but it goes without saying that the users of the watching system 1 are not limited to these.

[0012] The information processing device 3 functions as a subject state detection means for detecting the concentration level or emotional level of the user from the bio-information detected by the bio-information sensor 2. The concentration level is an index of the user's concentration and is expressed, for example, as a numerical value in the range of 0 to 100. The emotional level is a numerical value indicating the degree of an emotion such as joy, anger, sadness, and enjoyment and is expressed, for example, as a numerical value in the range of 0 to 100. The information processing device 3 can calculate the concentration level or emotional level from the bio-information detected by the bio-information sensor 2 using a known method.

[0013] The information processing device 3 functions as a calculation means for calculating a score using a value obtained by multiplying the concentration level or emotion level by the user's working time. Work refers to activities such as learning, lessons, work, and hobbies.

[0014] The notification device 4 functions as a notification means capable of notifying the user or the user's family of the score. The notification device 4 may be, for example, a smartphone. The family member to whom the score is notified may be a guardian such as the user's parents. The communication between the notification device 4 and the information processing device 3 may be wireless communication or wired communication. The notification device 4 and the information processing device 3 may communicate via a network. The notification device 4 may notify the user by displaying the score on a display unit, or may notify the user of the score by voice guidance. In this embodiment, by notifying the user or the user's family of the score calculated by multiplying the concentration level or emotional level and the work time, it is advantageous to understand the appropriate task and appropriate work time for the user. In other words, the work efficiency is visualized, and it becomes possible to appropriately manage the user's work.

[0015] The monitoring system 1 includes an input device that allows a user to input information. The notification device 4 may also have the function of the input device. The user may input information about the work time to the information processing device 3 using the input device. Alternatively, the information processing device 3 may determine that the user has started and finished a task using at least one change in the bioinformation of the user detected by the bioinformation sensor 2, such as heart rate, heart rate fluctuation, respiratory rate, respiratory rate fluctuation, breathing depth, blood pressure, pulse wave, brain wave, cerebral blood flow, pupil diameter, nasal temperature, blinking, gaze movement, and body movement. That is, the information processing device 3 may be configured to automatically acquire the work time.

[0016] The unit of the task time by which the information processing device 3 multiplies the concentration level or the emotion level may be any of seconds, minutes, or hours. The information processing device 3 may calculate the concentration level or the emotion level as a 1-minute average, a 5-minute average, a 10-minute average, a 15-minute average, a 30-minute average, or a 60-minute average.

[0017] The maximum work time can be set to any value between 0.1 and 24 hours. The maximum work time value may be set by the user. The maximum work time corresponds to the target value of the work time.

[0018] The score value is in the range of 0 to 100, for example.

[0019] When the unit of the task time to be multiplied is hours, the information processing device 3 may calculate the score by concentration level (or emotional level)×actual task time [h]÷maximum task time [h].

[0020] The information processing device 3 may calculate the score in any one of the following modes 1 to 3.

[0021] (Mode 1) The information processing device 3 may have a mode 1 in which, when the concentration level or emotion level is A, the actual work time is B, the target work time is C, and the specific score value is D, the score is calculated by A×B / (C×D)×100. The specific score value corresponds to the target value of the score. For example, if the concentration level A is 75, the actual work time B is 1 hour, the target work time C is 2 hours, and the specific score value D is 80, the score is 75×1 / (2×80)×100≈46.9.

[0022] This mode 1 is particularly effective when the user is a student taking an exam. The watching system 1 may perform the above-mentioned processes in the student mode.

[0023] (Mode 2) The information processing device 3 may have a mode 2 in which the score is calculated by dividing the sum of the products of the concentration level or emotion level and the actual work time by the maximum work time. As an example, if the concentration level is 75, the actual work time is 1 hour, and the maximum work time is 2 hours, the score is 75×1 / 2=37.5. As another example, if the actual work time is 2 hours, the concentration level in the first hour is 80, the concentration level in the second hour is 70, and the maximum work time is 2 hours, the score is (80×1+70×1) / 2=75.

[0024] In Mode 2, the longer the work time, the higher the score. Mode 2 is especially suitable for people who want to develop study habits.

[0025] (Mode 3) The information processing device 3 may have a mode 3 in which the score is calculated by dividing the sum of the products of the concentration level or emotion level and the actual working time by the actual total working time. For example, if the actual total working time is 3 hours, and the concentration level in the first hour is 75, the concentration level in the second hour is 80, and the concentration level in the third hour is 60, the score is (75×1+80×1+60×1) / 3≈71.7.

[0026] Mode 3 is suitable for beginners who have been using the system for about a few months. The monitoring system 1 may perform the above-mentioned process in the beginner mode.

[0027] The monitoring system 1 may automatically select one of the modes 1 to 3 according to the attributes of the user. This makes it possible to automatically select an appropriate mode. The attributes of the user may be classified according to age, school of choice information, school information, company information, etc.

[0028] The notification device 4 may notify the user or the user's family of the score when the score is equal to or greater than a specific score, or when the score is less than a specific score. This allows the score to be notified to the user or the user's family only when necessary.

[0029] When the user is taking up a lesson, the information processing device 3 may detect the user's emotions such as joy or fun according to the bioinformation detected by the bioinformation sensor 2, and calculate the degree of emotion. The method of calculating the score from the degree of emotion is the same as in the above-mentioned modes 1 to 3. By notifying the user himself or a family member such as his or her parents of the score calculated based on the degree of emotion such as joy or fun, it becomes possible to determine whether the lesson is suitable for the user. In particular, by notifying the user himself or a family member such as his or her parents of the score when the calculated score is equal to or greater than a specific score or less than a specific score, it becomes possible to more appropriately determine whether the lesson is suitable for the user.

[0030] When the user, i.e., a child, is at home alone, the information processing device 3 may detect the user's emotions such as anger or sadness according to the bio-information detected by the bio-information sensor 2, calculate the degree of emotion, and calculate a score. By notifying the score to family members such as parents, the score can be used as an index for parents to watch over the child. The score calculation method is the same as the above-mentioned modes 1 to 3.

[0031] The information processing device 3 may set the specific score based on the concentration level, emotion level, or score obtained in the past. For example, a score equivalent to the top 25% or top 50% of the scores calculated in the past may be set as the specific score. This makes it possible to automatically set an appropriate specific score.

[0032] The information processing device 3 may calculate the specific score from the average score value for a predetermined period of time in the past. This makes it possible to automatically set an appropriate specific score. For example, the specific score may be calculated from the average score value for one day, one week, or one month. The specific score may also be a score that is +5 to +10 from the average score value for a specific period.

[0033] When the task is learning, the amount of task may be expressed by the number of pages or the number of items.

[0034] The specific score may be set based on the concentration level and work time acquired in the past, and the amount of work input by the user or the amount of work acquired from external information (such as a learning record on a tablet).

[0035] The information processing device 3 may acquire information from an external learning support service.

[0036] The target workload may be information entered by the user or information automatically set according to the user's characteristics. For example, when the concentration level is 80 and the work time is 1 hour, if the actual workload is 10 pages and the target workload set by the user is 10 pages, the specific score = 80 x 10 (actual workload) / 10 (target workload) = 80.

[0037] It is desirable for the information processing device 3 to set the score to 100 when the calculated score value exceeds 100.

[0038] The information processing device 3 may classify the characteristics of the users based on age, information on the school of choice, information on the school to which the user belongs, company information, and the like.

[0039] When the score value remains low for a long period of time, the information processing device 3 may notify the user of information about a time period during which the score value remains high. This allows the user to be informed of information about a time period during which high concentration is maintained, leading to improved work efficiency.

[0040] The information processing device 3 may detect information that the user is taking a break based on biological information such as heart rate, heart rate fluctuation, respiratory rate, respiratory rate fluctuation, breathing depth, blood pressure, pulse wave, brain wave, cerebral blood flow, pupil diameter, nasal temperature, eye blink, eye movement, body movement, etc. Alternatively, the user may input that he or she is taking a break.

[0041] The monitoring system 1 may notify the user of an appropriate break time by detecting the concentration level or emotion during the break. The monitoring system 1 may consider the time other than the working time as a break.

[0042] The monitoring system 1 may notify the user of suitable tasks by notifying the user of tasks with high scores.

[0043] 2 is a flowchart showing an example of processing executed by the monitoring system 1 according to the first embodiment. The following will be described based on this flowchart. First, the information processing device 3 determines the concentration level from the bio-information, i.e., vital data, detected by the bio-information sensor 2 (step S1). Next, the information processing device 3 determines the task work time from the vital data (step S2). Next, the information processing device 3 calculates a score in one of the above-mentioned modes 1 to 3 using a value obtained by multiplying the concentration level obtained in step S1 by the work time obtained in step S2 (step S3).

[0044] Next, the information processing device 3 determines whether or not a score threshold is set (step S4). If a score threshold is not set, the information processing device 3 stores the task amount input by the user together with the score data in the storage unit (step S5). Next, the information processing device 3 determines a concentration threshold from the task amount.

[0045] If a score threshold has been set in step S4, it is then determined whether or not there has been an input to reset the concentration threshold (step S7). If there has been an input to reset the concentration threshold, the process proceeds to step S5. If there has not been an input to reset the concentration threshold, the process proceeds to step S8. In step S8, it is determined whether or not the score is below the threshold. If the score is below the threshold, the notification device 4 is used to notify the user of the score (step S9).

[0046] FIG. 3 is a diagram showing an example of a configuration for realizing the functions of the information processing device 3 in the first embodiment. Each function of the information processing device 3 is realized by, for example, a processing circuit. The processing circuit may be dedicated hardware 600. The processing circuit may include a processor 601 and a memory 602. A part of the processing circuit may be formed as the dedicated hardware 600, and the processing circuit may further include the processor 601 and the memory 602. In the example shown in FIG. 3, a part of the processing circuit is formed as the dedicated hardware 600. Also, in the example shown in FIG. 3, the processing circuit further includes the processor 601 and the memory 602 in addition to the dedicated hardware 600.

[0047] The processing circuitry of which at least one portion is dedicated hardware 600 may be, for example, a single circuit, multiple circuits, a programmed processor, parallel programmed processors, an ASIC, an FPGA, or a combination thereof.

[0048] When the processing circuit includes at least one processor 601 and at least one memory 602, the functions of each unit of the information processing device 3 are realized by software, firmware, or a combination of software and firmware.

[0049] The software and firmware are written as a program and stored in the memory 602. The program may be recorded in a computer-readable recording medium. The processor 601 realizes the functions of each unit by reading and executing the program stored in the memory 602. The processor 601 is also called a CPU (Central Processing Unit), central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 602 may be, for example, a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, and an EEPROM, or a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD.

[0050] In this way, the processing circuit can realize the functions of the information processing device 3 by hardware, software, firmware, or a combination of these. Each function of the information processing device 3 may be realized by a plurality of devices working together, or may be realized by a single device. Also, at least a part of each function of the information processing device 3 may be implemented in a server or the like on an external network.

[0051] Various aspects of the present disclosure are summarized below as appendices.

[0052] (Appendix 1) A biometric information sensor that detects biometric information of a user; a subject state detection means for detecting a concentration level or an emotional level of the user from the biological information; a calculation means for calculating a score by using a value obtained by multiplying the concentration level or the emotion level by a task time; A notification means capable of notifying the user or a family member of the user of the score; Equipped with a monitoring system. (Appendix 2) The monitoring system according to claim 1, wherein the notification means notifies the user or a family member of the user of the score if the score is equal to or greater than a specific score or if the score is less than the specific score. (Appendix 3) The monitoring system according to claim 2, wherein the calculation means sets the specific score based on the concentration level, the emotional level, or the score acquired in the past. (Appendix 4) The monitoring system according to claim 2, wherein the calculation means calculates the specific score from an average value of the scores for a predetermined period of time in the past. (Appendix 5) A monitoring system as described in any one of Appendix 1 to Appendix 4, wherein the biological information includes at least one of heart rate, heart rate fluctuation, respiratory rate, respiratory rate fluctuation, breathing depth, blood pressure, pulse wave, brain wave, cerebral blood flow, pupil diameter, nasal temperature, blinking, eye movement, and body movement. (Appendix 6) The monitoring system according to any one of Appendix 1 to Appendix 5, wherein the calculation means has a mode of calculating the score by A×B / (C×D)×100, where A is the concentration level or the emotional level, B is the actual work time, C is the target work time, and D is the target score value. (Appendix 7) The monitoring system according to any one of claims 1 to 6, wherein the calculation means has a mode of calculating the score by dividing the sum of the product of the concentration level or the emotional level and the actual work time by the maximum work time. (Appendix 8) The monitoring system according to any one of claims 1 to 7, wherein the calculation means has a mode of calculating the score by dividing the sum of the product of the concentration level or the emotional level and the actual work time by the actual total work time. (Appendix 9) A monitoring system as described in any one of Appendix 1 to Appendix 8, wherein the calculation means has a plurality of modes having different methods of calculating the score, and automatically selects one of the plurality of modes depending on the attributes of the user. [Explanation of symbols]

[0053] 1 monitoring system, 2 biometric sensor, 3 information processing device, 4 notification device, 600 dedicated hardware, 601 processor, 602 memory

Claims

1. A biometric information sensor that detects biometric information of a user; a subject state detection means for detecting a concentration level or an emotional level of the user from the biological information; a calculation means for calculating a score by using a value obtained by multiplying the concentration level or the emotion level by a task time; A notification means capable of notifying the user or a family member of the user of the score; Equipped with a monitoring system.

2. The monitoring system according to claim 1 , wherein the notification means notifies the user or a family member of the user of the score when the score is equal to or greater than a specific score or when the score is less than the specific score.

3. The monitoring system according to claim 2 , wherein the calculation means sets the specific score based on the concentration level, the emotional level, or the score previously obtained.

4. The monitoring system according to claim 2 , wherein the calculation means calculates the specific score from an average value of the scores for a predetermined period of time in the past.

5. The monitoring system according to any one of claims 1 to 4, wherein the biometric information includes at least one of heart rate, heart rate fluctuation, respiratory rate, respiratory rate fluctuation, breathing depth, blood pressure, pulse wave, brain wave, cerebral blood flow, pupil diameter, nasal temperature, blinking, eye movement, and body movement.

6. The monitoring system according to any one of claims 1 to 4, wherein the calculation means has a mode of calculating the score by A x B / (C x D) x 100, where A is the concentration level or the emotional level, B is the actual work time, C is the target work time, and D is the target score value.

7. The monitoring system according to claim 1 , wherein the calculation means has a mode of calculating the score by dividing the sum of the product of the concentration level or the emotional level and an actual work time by a maximum work time.

8. The monitoring system according to any one of claims 1 to 4, wherein the calculation means has a mode of calculating the score by dividing the sum of the product of the concentration level or the emotional level and the actual work time by the actual total work time.

9. The monitoring system according to claim 1 , wherein the calculation means has a plurality of modes having different methods of calculating the score, and automatically selects one of the plurality of modes depending on the attributes of the user.

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