Biological information management device

Abstract

To find out liking / unliking (strong / weak) of various kinds of work (work) to be performed by a worker, and to control the work to be performed by using it.SOLUTION: The work ranking unit 122 sequentially prompts execution of works in the job type work table 105, and ranks each work based on the biological information of the user from the pulse wave acquisition device 2. The load amount optimization unit 123 prompts the user to execute the work by sequentially changing the load amount of the job type work table 105 in the order according to the rank ranked by the work ranking unit 122. Further, the load amount adjustment unit grasps the stress state based on the biological information of the user executing the work from the biological information acquisition unit, and reduces the load amount of the work being executed when the stress increases.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a device that utilizes a user's biological information, such as pulse waves, to find out what the user likes / dislikes (strengths / weaknesses) of various tasks (work) to be performed. [Background technology]

[0002] Various biological information such as pulse wave, pulse rate, heart rate, body temperature, and blood pressure can now be measured easily and accurately, and this information is used to control exercise load, etc. For example, Patent Document 1, described below, discloses an invention relating to an exercise therapy device that can more appropriately control exercise load so as to prevent an exerciser from becoming overstressed, even when the response time constant of an exerciser's physiological response to exercise, such as heart rate or pulse rate, differs from exerciser to exerciser. Furthermore, Patent Document 2, described below, discloses an invention relating to an exercise machine that sets an anaerobic threshold based on information obtained from a measured electrocardiogram signal and controls the load of the exercise machine. The inventions described in Patent Documents 1 and 2 utilize an exerciser's biological information to prevent the exerciser from being overstressed, allowing the exerciser to exercise safely and effectively. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-177873 [Patent Document 2] Japanese Patent Application Laid-Open No. 2004-000646 Summary of the Invention [Problem to be solved by the invention]

[0004] The inventions disclosed in the above-mentioned Patent Documents 1 and 2 can also be applied to elderly care facilities and companies. For example, in elderly care facilities, when elderly people are asked to perform various tasks (jobs) to maintain physical functions and prevent dementia, the tasks can be controlled so as not to impose an excessive burden on the elderly. Also, in companies, the tasks (jobs) performed by employees can be controlled so as not to impose an excessive burden on the employees. However, in recent years, there has been a demand for more detailed control of the tasks (jobs) performed by elderly people and employees.

[0005] For example, when elderly people are assigned various tasks in elderly care facilities, there is a demand for making it possible to identify each elderly person's favorite and least favorite tasks and gradually increase the workload of the tasks they perform, starting with the most favorite ones. This is to effectively improve the effectiveness of maintaining physical functions and preventing dementia without placing excessive strain on the elderly. Furthermore, there is a demand for making it possible for companies to determine the tasks their employees are assigned to by identifying each employee's strengths and weaknesses, and to ensure that they are not overly stressed when assigned to tasks they are not good at.

[0006] In view of the above, the object of this invention is to find out what a worker likes / dislikes (strengths / weaknesses) of various tasks (jobs) that he or she performs, and to use this information to control the tasks that he or she performs. [Means for solving the problem]

[0007] In order to solve the above problem, the biological information management device of the invention described in claim 1 comprises: a table storage means for storing table data by job and load; a biological information acquiring means for acquiring biological information of a user from a measuring device worn by the user; a job ranking means for sequentially prompting the user to perform the jobs stored in the table storage means and ranking each job based on the biometric information of the user during the execution of the job, the biometric information being acquired through the biometric information acquisition means; a load amount optimization means for sequentially changing the load amount in the table storage means in an order according to the ranks assigned by the job ranking means, thereby urging the user to perform the job, and for grasping the stress state of the user based on the biometric information of the user while performing the job acquired through the biometric information acquisition means, and for decreasing the load amount when the stress increases; The present invention is characterized by comprising:

[0008] According to the biological information management device of claim 1, the table storage means stores table data by task and workload. The biological information acquisition means acquires the user's biological information from a measuring device worn by the user. The task ranking means sequentially prompts the user to perform the tasks stored in the table storage means and ranks each task based on the user's biological information from the biological information acquisition means. The workload optimization means sequentially changes the workload in the table storage means in accordance with the ranks assigned by the task ranking means, thereby prompting the user to perform the task. Furthermore, the workload optimization means grasps the user's stress state based on the user's biological information from the biological information acquisition means while the user is performing the task, and reduces the workload of the task being performed if stress increases. [Effects of the Invention]

[0009] According to this invention, it is possible to find out what a user likes / dislikes (strengths / weaknesses) of various tasks (work) that the user performs. Based on this, the user can perform the tasks that the user likes or is good at while controlling the workload. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of a biological information management system according to an embodiment. [Figure 2]1 is a block diagram illustrating a configuration example of a biological information management device according to an embodiment. [Figure 3] 10 is a diagram illustrating an example of data stored in a job table by occupation in the biological information management device according to the embodiment. FIG. [Figure 4] 10A and 10B are diagrams illustrating an example of data stored in a stress level accumulation unit of the biological information management device according to the embodiment. [Figure 5] 10 is a flowchart illustrating a process executed by the biological information management device according to the embodiment. [Figure 6] 6 is a flowchart for explaining the job type ranking process executed in step S2 of FIG. 5. [Figure 7] 6 is a flowchart for explaining the job ranking process executed in step S3 of FIG. 5. [Figure 8] 6 is a flowchart for explaining a load amount optimization process executed in step S4 of FIG. 5. [Figure 9] 6 is a flowchart for explaining the continuous adjustment process executed in step S5 of FIG. 5. DETAILED DESCRIPTION OF THE INVENTION

[0011] An embodiment of a biometric information management device according to the present invention will now be described with reference to the drawings. The biometric information management device according to the present invention detects a user's likes and dislikes (strengths and weaknesses) for various tasks and enables appropriate control of the workload of the user when performing various tasks. The biometric information management device according to the present invention can be used, for example, in elderly care facilities, companies, schools, and even individuals. For example, when used in elderly care facilities, when elderly people are required to perform various tasks to maintain their physical functions and prevent dementia, appropriate tasks can be performed with appropriate workloads according to each elderly person's physical condition, thereby increasing the effectiveness of the device. Therefore, the following embodiment will be described using an example in which elderly people are required to perform various tasks to maintain their physical functions and prevent dementia in an elderly care facility.

[0012] [Configuration example of a biometric information management system] 1 is a diagram illustrating an example of the configuration of a biological information management system according to an embodiment. As shown in FIG. 1, the biological information management system according to this embodiment is configured by connecting a biological information management device 1 and a pulse wave acquiring device 2 via short-range wireless communication.

[0013] The biological information management device 1 can be configured by an information processing device such as a PC (Personal Computer) or a tablet PC. The biological information management device 1 of this embodiment will be described using a tablet PC as an example. The biological information management device 1, which will be described in detail later, includes a touch panel including a display unit 108 and a touch sensor 109, and a speaker (not shown in FIG. 1 ), and can prompt a user (worker) to perform a task by displaying and / or audibly outputting information. The biological information management device 1 also receives and stores pulse waves, which are biological information of the user (worker) wearing the device, from a pulse wave acquisition device 2 (described later), and analyzes the pulse waves to determine the user's level of brain fatigue and stress.

[0014] The pulse wave acquiring device 2 is worn on the body of a user, measures the pulse wave, which is biometric information of the user (worker), and provides the measured value to the biometric information management device 1. The pulse wave acquiring device 2 is realized as various wearable devices, such as a mouse-type pointing device, a fingertip-type device, a wrist-type device, an upper arm-type device, a clip-type device worn on the earlobe, an earphone-type device, or a headphone-type device. In this embodiment, the pulse wave acquiring device 2 is described using, as an example, a wristwatch-type device (wrist-type device) called a smart watch, as shown in FIG. 1. The pulse wave acquiring device 2 of this embodiment analyzes the pulse wave measured by itself to obtain the heart rate, brain fatigue level, and stress level, and can display these values ​​on the display unit of the pulse wave acquiring device 2, as shown in FIG. 1.

[0015] That is, in the biological information management system of this embodiment, the biological information management device 1 instructs a user to perform a task, the user performs the instructed task, and the pulse wave acquiring device 2 measures the user's pulse wave at that time and provides the measured value to the biological information management device 1. The biological information management device 1 analyzes the pulse wave of the user when the user is performing the task, thereby determining the user's brain fatigue level and stress level at the time of performing the task and determining whether the user likes or dislikes (strengths or weaknesses) for the task. For this reason, as will be described in detail later, the device has the user perform various tasks, and determines the user's likes or dislikes (strengths or weaknesses) for each task based on the user's brain fatigue level and stress level at the time, allowing the user to perform the tasks while controlling the task so as not to impose an excessive burden.

[0016] <About pulse waves as biological information> The pulse wave used in the biological information management system of this embodiment and the brain fatigue and stress levels obtained by analyzing it will now be described. A pulse wave refers to the pressure wave that travels through blood vessels every time the heart pumps blood. Specifically, a pulse wave is a pressure fluctuation that occurs in an artery when the heart contracts to pump blood, and travels through the vascular wall as a pulse wave. That is, a pulse wave is generated by the contraction (systole) and expansion (diastole) of the heart. When the heart contracts, blood is pushed into the aorta, and this pressure travels as a wave (waveform) through the arterial wall. The pulse wave travels through the artery to the periphery. Pulse wave velocity (PWV) is affected by the elasticity and stiffness of the blood vessels. The stiffer the artery, the faster the pulse wave travels.

[0017] Pulse waves are usually measured using medical equipment such as blood pressure monitors and heart rate monitors, but in recent years they have also become possible to measure using various wearable devices that utilize optical sensors. Pulse waves have a characteristic pattern. They usually consist of an ascending portion (anacrotic phase), a peak, and a descending portion (dicrotic phase). Parameters such as the shape, height, and width of the waveform reflect the condition of the heart and blood vessels. Various information regarding the condition of the heart and blood vessels can be obtained from pulse waves. Specifically, this information includes the following:

[0018] Because pulse waves reflect the rhythm and frequency of the heartbeat, they can be used to measure the heart rate. Furthermore, the heart rhythm measured from the pulse wave can determine whether the heart rhythm is normal or whether arrhythmia is present. The shape and speed of the pulse wave can be used to estimate blood pressure. Furthermore, the pulse wave velocity (PWV) can be used to evaluate arterial stiffness. Furthermore, pulse waves can be used to determine blood flow condition and how efficiently the heart pumps blood, i.e., the state of the heart's pumping function (cardiac output). Various pieces of information can be obtained by analyzing pulse waves, and these can be used to determine the user's brain fatigue and stress levels. In other words, brain fatigue and stress levels can be determined from changes in heart rate and blood pressure, as well as changes in the shape of the pulse wave. Simply put, as heart rate and blood pressure increase, brain fatigue and stress levels also increase.

[0019] <About brain fatigue and stress levels> Brain fatigue level is an index that indicates how tired the brain is, i.e., how much brain energy has been consumed, and stress level is an index that indicates the level of stress, i.e., the degree of psychological and physiological burden. Brain fatigue level and stress level are different but related. For example, when stress is high, the brain consumes more energy and is more likely to feel brain fatigue. Conversely, when the brain remains in a fatigued state, it is more likely to feel stress. In this way, both affect the body and mind and can have a negative effect on each other. For simplicity of explanation, the following description will be given assuming that the biological information management device 1 uses the stress level obtained by analyzing the pulse wave.

[0020] The following describes an example of the configuration and operation of the biological information management device 1 of the biological information management system of this embodiment. Note that, as the pulse wave acquiring device 2 configured as a smart watch can be a commercially available one, a description of its configuration will be omitted.

[0021] [Configuration example of biological information management device 1] 2 is a block diagram illustrating a configuration example of the biological information management device 1 according to the embodiment. The wireless antenna 101A and the LAN (Local Area Network) I / F (Interface) 101 realize, for example, a wireless LAN interface conforming to the Wi-Fi (registered trademark) standard. This allows the biological information management device 1 to access other devices connected to the LAN and the Internet via the LAN.

[0022] The control unit 102 is a microprocessor including a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), non-volatile memory, etc., and realizes the function of controlling each unit of the biological information management device 1. The storage device 103 is a device unit including a recording medium such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) and its driver, and performs recording, reading, changing, and deleting of various data on the recording medium. The storage device 103 not only stores and holds necessary data and programs, but is also used as a working area for temporarily storing intermediate data generated in various processes. In this embodiment, the storage device 103 is also used to temporarily store pulse wave data from the pulse wave acquiring device 2.

[0023] The operation unit 104 is provided with button switches such as a power button, a volume control button, and several function buttons, and realizes the function of accepting operation from the user and providing the control unit 102 with an operation signal corresponding to the operated button switch. Note that each button switch of the operation unit 104 is provided on the side of the biological information management device 1, for example. The job-by-job table 105 is formed on a storage medium of the device unit, which is made up of a recording medium and its driver, such as an HDD (Hard Disk Drive) or SSD (Solid State Drive), and stores and holds information indicating the amount of work load (load level) for each job by job type. In other words, the job-by-job table 105 realizes the function as table storage means for storing table data in which the amount of work load to be performed for each job by job type is set.

[0024] 3 is a diagram illustrating an example of data stored in the job-by-job table of the biological information management device 1 according to the embodiment. Four job types are set in the job-by-job table shown in FIG. 3. That is, job type J(1) is a collection of jobs related to "writing with a pen," job type J(2) is a collection of jobs related to "cleaning," job type J(3) is a collection of jobs related to "exercise," and job type J(4) is a collection of jobs related to "English."

[0025] Occupation J(1) includes four tasks related to "writing with a pen": Task W(1) "writing slips," Task W(2) "copying," Task W(3) "drawing," and Task W(4) "coloring." Task W(1) "writing slips" refers to the task of filling out shipping slips (waybills) with a pen, for example, for postal or courier services, and the number of slips to be filled out is set as a level indicating the workload (load level). Here, the number of slips refers to the number of slips with at least different destinations. Task W(2) "copying" refers to the task of copying from a book, and the number of pages of the book to be copied is set as a level indicating the workload (load level). Task W(3) "drawing" refers to the task of drawing pictures, and the number of pictures to be drawn is set as a level indicating the workload (load level). The task W(4) "coloring" refers to the task of coloring in a coloring book, and the number of pictures to be colored (number of coloring books) is set as a level indicating the workload (load level) of the task.

[0026] Furthermore, job type J(2) includes four jobs related to "cleaning": job W(1) "dishwashing," job W(2) "sweeping," job W(3) "throwing out the trash," and job W(4) "wiping windows." Job W(1) "washing dishes" refers to the task of washing dishes, with the number of dishes washed set in increments of 10 as a level indicating the workload (load level). Job W(2) "sweeping" refers to the task of sweeping a room with a broom, with the number of rooms to be swept set as a level indicating the workload (load level). Job W(3) "throwing out the trash" refers to the task of finding trash and throwing it in a trash can, with the number of pieces of trash to be thrown set as a level indicating the workload (load level). Job W(4) "wiping windows" refers to the task of wiping windows, with the number of windows to be wiped set as a level indicating the workload (load level).

[0027] Job type J(3) also includes four exercise-related tasks: job W(1) "walking," job W(2) "carrying objects," job W(3) "climbing stairs," and job W(4) "playing catch." Job W(1) "walking" refers to the task of walking, and the distance walked is set as a level indicating the workload (load level). Job W(2) "carrying objects" refers to the task of carrying an object of a certain weight over a certain distance, and the distance carried for an object weighing 1 kg (kilogram) is set in 100-meter increments as a level indicating the workload (load level). Conversely, it is possible to keep the distance carried constant and set different job levels depending on the weight of the object being carried. Job W(3) "climbing stairs" refers to the task of walking up stairs, and the number of flights of stairs climbed is set as a level indicating the workload (load level). The "playing catch" task W(4) refers to the task of playing catch using a rubber ball, and the time required to play catch is set as the level indicating the workload (stress level). In this case, whether the ball is dropped or not is not taken into consideration, and the number of minutes for which the task is played is simply set.

[0028] Job type J(4) includes four tasks related to "English": Job W(1) "Writing," Job W(2) "Input," Job W(3) "Pronunciation," and Job W(4) "Speaking." Job W(1) "Writing" refers to the task of recording English text with a pen, and the number of English characters recorded in 500-character increments is set as a level indicating the workload (load level). Job W(2) "Input" refers to the task of inputting English text into a personal computer (PC), and the number of English characters input in 500-character increments is set as a level indicating the workload (load level). Job W(3) "Pronunciation" refers to the task of reading aloud a sentence written in English, and the number of English sentences pronounced is set as a level indicating the workload (load level). The "conversation" in task W(4) refers to the task of conversing in English, and the time required to converse in English is set as a level indicating the workload (load level) of the task.

[0029] In this way, four jobs are registered for each of the four job types in the job table 105 of this embodiment. Therefore, a job load (load level) is set for each of the 16 different jobs. The data stored in this job table 105 makes it possible to grasp the user's biometric information, such as the level of stress when performing job W(1) "Write slip" of job type J(1) "Write with pen" at load level 1 "One slip."

[0030] The stress level accumulation unit 106 is formed in a storage medium of a device unit consisting of a recording medium and its driver, such as a hard disk drive (HDD) or a solid state drive (SSD). The stress level accumulation unit 106 stores and retains stress levels obtained by analyzing pulse waves acquired when performing work, categorized by occupation, task, and workload level. Therefore, the data stored in the stress level accumulation unit 106 of the biological information management device 1 can determine which tasks will reduce the stress level of the user who is performing the work, and which tasks will increase the stress level of the user. It is possible to determine whether a low-stress task is liked (good at) or whether a high-stress task is disliked (poor at). In this way, the stress level accumulation unit 106 functions as a related information storage unit that stores and retains related information obtained from biological information.

[0031] FIG. 4 is a diagram illustrating an example of data stored in the stress level accumulation unit 106 of the biological information management device 1 according to the embodiment. While stress levels can be expressed in various ways, in this embodiment, they are expressed numerically. For example, a stress level of 1 to 30 corresponds to a "low" stress level, a stress level of 31 to 70 corresponds to a "medium" stress level, and a stress level of 71 to 100 corresponds to a "high" stress level. Therefore, in the example of data stored in the stress level accumulation unit 106 shown in FIG. 4, it can be seen that the stress level of the user (the person performing the task) is low when performing the task W(3) "Drawing" and the task W(4) "Coloring," which belong to the "Writing with a Pen" category of the job type J(1). In contrast, it can be seen that the stress level of the user is high when performing the task W(3) "Pronunciation" and the task W(4) "Conversation," which belong to the "English" category of the job type J(4).

[0032] The short-range wireless communication unit 107 and the short-range wireless communication antenna 107A are components that enable short-range wireless communication, and in this embodiment, are compatible with the Bluetooth (registered trademark) standard. Mutual communication with the pulse wave acquiring device 2 is possible via the short-range wireless communication unit 107 and the short-range wireless communication antenna 107A. In other words, the short-range wireless communication unit 107 and the short-range wireless communication antenna 107A function as a biological information acquiring means that acquires, from the pulse wave acquiring device 2, pulse wave data, which is biological information of the user measured through the pulse wave acquiring device 2 worn by the user.

[0033] The display unit 108 is configured using a thin display element such as an LCD (Liquid Crystal Display) or an OEL (Organic Electro-Luminescence) display. The touch sensor 109 is provided corresponding to the display screen of the display unit 108 and enables detection of a position pointed to by a pointer such as a user's finger or an electronic pen. The display unit 108 and the touch sensor 109 configure a touch panel 110. The touch panel 110 configures an input device unit of the biological information management device 1 that enables input by directly touching the display screen of the display unit 108.

[0034] The audio output unit 111 converts the digital audio data from the control unit 102 into an analog audio signal and supplies it to the speaker 112. As a result, audio corresponding to the digital audio data is emitted from the speaker 112. In this way, the audio output unit 111 and the speaker 112 can emit various audio messages such as guidance messages and warning messages, warning sounds, and the like.

[0035] The occupation ranking unit 121, the job ranking unit 122, the workload optimization unit 123, the continuous adjustment unit 124, and the analysis processing unit 125 constitute the main components of the biological information management device 1 of this embodiment. The occupation ranking unit 121 refers to the data stored in the occupation-specific job table 105, and prompts the user (the person who performs the job and wears the pulse wave acquiring device 2) to perform one job for each occupation, causing the user to perform the job. In this case, the occupation ranking unit 121 ranks each occupation based on the stress level obtained by analyzing the pulse wave data acquired from the pulse wave acquiring device 2 via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107.

[0036] Specifically, the job ranking unit 121 refers to the job-by-job table 105 described with reference to FIG. 3 and prompts the user to perform the tasks W(1) of each job type J(1), J(2), J(3), and J(4) in order. The job ranking unit 121 determines the stress level determined from the pulse wave when performing the task W(1) of each job type J(1), J(2), J(3), and J(4). The job types J(1), J(2), J(3), and J(4) are ranked in descending order of the determined stress level. This allows the user to rank the jobs that are considered to be favorite jobs (jobs that the user is good at) because of their low stress level. The stress level when performing the task W(1) of each job type J(1), J(2), J(3), and J(4) is updated in the corresponding area of ​​the stress level accumulation unit 106 shown in FIG. 4.

[0037] For simplicity, the explanation has been given here assuming that each job W(1) for each job type J(1), J(2), J(3), and J(4) is performed in order. However, this is not limited to this, and it is possible to select the appropriate job for each job type. For example, it is possible to perform each job W(2) for each job type J(1), J(2), J(3), and J(4) in order, or to select the job to be performed for each job type, such as performing job W(1) for job type J(1) and job W(2) for job type J(2).

[0038] The job ranking unit 122 sequentially prompts the user to perform jobs W(2), W3(3), W(4), ..., which are jobs included in each job type, in order from highest to lowest ranked job type ranked by the job type ranking unit 121, and causes the user to perform the job. In this case, the job ranking unit 122 obtains a stress level by analyzing the pulse wave acquired from the pulse wave acquiring device 2 via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107, and ranks each job based on the stress level at the time of performing each job. Note that job W(1) is excluded because job W(1) of each job type J(1), J(2), J(3), and J(4) has been performed by the user by the function of the job type ranking unit 121, and a stress level has already been obtained according to the user's pulse wave data at that time.

[0039] This makes it possible to grasp the user's stress level when performing each of the jobs W(1), W(2), W3(3), W(4), ... belonging to each of the job types J(1), J(2), J(3), and J(4). Based on this stress level, it is possible to rank the jobs W(1), W(2), W3(3), W(4), ... that have low stress levels and can therefore be considered favorite jobs (jobs that the user is good at). The stress levels when performing each of the jobs W(1), W(2), W3(3), W(4), ... belonging to the job types J(1), J(2), J(3), and J(4) are updated in the corresponding areas of the stress level accumulation unit 106 shown in FIG. 4.

[0040] The workload optimization unit 123 refers to the job-by-job table 105 for each job, starting with the highest ranked job as ranked by the job ranking unit 122, and gradually increases the workload to prompt the user to perform the job. The workload optimization unit 123 determines the stress level obtained by analyzing pulse wave data acquired from the pulse wave acquisition device 2 via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107. If the determined stress level increases, the workload optimization unit 123 reduces the workload for the job by one level. Note that the stress levels obtained when jobs W(1), W(2), W3(3), W(4), ... of each job type J(1), J(2), J(3), and J(4) are performed at different workload levels are updated in the corresponding areas of the stress level accumulation unit 106 shown in FIG. 4.

[0041] The continuous adjustment unit 124 prompts the user to perform the work of the occupation whose workload has been reduced by the workload optimization unit 123 with the reduced workload, thereby causing the user to perform the work. The continuous adjustment unit 124 grasps the stress level obtained by analyzing the pulse wave acquired from the pulse wave acquisition device 2 via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107. If the grasped stress level increases, the continuous adjustment unit 124 terminates the execution of the work. In this way, the workload optimization unit 123 and the continuous adjustment unit 124 can grasp the upper limit of the workload (load level) that can be performed for each work belonging to each occupation without increasing the stress level.

[0042] The analysis processing unit 125 refers to the data stored in the stress level accumulation unit 106 and determines the appropriate load for the user's favorite job (job that the user is good at) and the load that can be applied to the user's least favorite job (job that the user is not good at). The analysis results of the analysis processing unit 125 enable fine-tuned control, such as having the user work jobs in the favorite job category with increasing load in order, starting with the user's favorite job, or limiting the load for the least favorite job so that excessive load is not imposed. Such control can be realized by cooperation between the analysis processing unit 125 and the control unit 102.

[0043] By functioning the biological information management device 1 configured as described above, in this embodiment, when an elderly person performs various tasks (work) to maintain physical functions and prevent dementia, it is possible to have the elderly person perform appropriate tasks with appropriate loads according to their condition. Below, the processing performed by the biological information management device of this embodiment will be specifically described with reference to a flowchart.

[0044] [Processing Executed by Biometric Information Management Device 1] Fig. 5 is a flowchart for explaining processing executed by the biological information management device 1 of the embodiment. The processing of the flowchart shown in Fig. 5 is executed by the control unit 102 of the biological information management device 1, and is processing carried out by the control unit 102 controlling each unit of the biological information management device 1. First, the control unit 102 performs processing to input table data by job type, task, and workload (load level) configured as described using Fig. 3 into the job-by-job table 105 (step S1). By inputting the table data required into the job-by-job table 105, subsequent processing can be executed.

[0045] In the input process of step S1, for example, input data received from the manager via touch panel 110 can be input into job-specific job table 105. Also, table data created in advance on an external PC (Personal Computer) or the like can be acquired via short-range wireless communication antenna 107A and short-range wireless communication unit 107 and input into the job-specific job table. Of course, table data created in advance on an external PC (Personal Computer) or the like can also be acquired via wireless antenna 101A and LAN I / F 101 and input into the job-specific job table. Also, by performing the process of step S1 in advance, it is possible to start from step S2, which will be described below.

[0046] To execute the process from step S2, the biological information management device 1 is placed so that the worker can see it, and the worker wears the pulse wave acquisition device 2 on his or her arm, ready to begin work. In this embodiment, the workers are elderly people who work in a nursing home, performing various tasks to maintain physical functions and prevent dementia. Once the process of inputting table data into the job-by-job table in step S1 is complete, the processes from step S2 onwards can be executed.

[0047] First, the control unit 102 controls the job ranking unit 121 to execute a job ranking process, and ranks the likes / dislikes (strengths / weaknesses) of the worker for multiple jobs performed by the worker (step S2). In the ranking, jobs with a low stress level are ranked higher. Next, based on the processing result of step S2, the control unit 102 ranks each of the multiple jobs (tasks) included in the job type in terms of likes / dislikes (strengths / weaknesses), starting from the highest ranked job (step S3). In the processing of step S3 as well, jobs with a low stress level are ranked higher.

[0048] Based on the processing result of step S3, the control unit 102 performs a load optimization process (step S4) in which the load (load level) of each job is changed, starting with the highest-ranked job, to find an appropriate value (appropriate level) for the load (load level) immediately before the user's stress level increases. As will be described in detail later, the load optimization process of step S4 involves having the user perform a job while increasing the load, and when the stress level increases, identifying the immediately previous load (load level) as the appropriate load (load level).

[0049] Thereafter, the control unit 102 controls the continuous adjustment unit 124 to execute the continuous adjustment process (step S5). The continuous adjustment process executed in step S5 is a process in which, based on the processing result of step S4, the work executed in step S4 is executed again with the load amount (load level) specified in step S4, and if the stress level increases, the work is terminated. This process of step S5 is a process in which the user is made to perform a favorite work in a favorite occupation with an appropriate load amount until the user becomes bored.

[0050] Thereafter, the control unit 102 determines whether the workload optimization process and the continuous adjustment process have been completed for all jobs in the job category currently being executed (step S6). In the determination process of step S6, it is assumed that the workload optimization process and the continuous adjustment process have not been completed for all jobs in the job category currently being executed. In this case, the control unit 102 sets the job with the next highest rank to the job category currently being executed to be executed (step S7), and repeats the process from step S4.

[0051] Furthermore, suppose that in the determination process of step S6, it is determined that the workload optimization process and the continuous adjustment process have been completed for all jobs in the job type currently being executed. In this case, the control unit 102 determines whether the job ranking process, workload optimization process, and continuous adjustment process have been completed for all jobs (step S8). In the determination process of step S8, it is determined that the job ranking process, workload optimization process, and continuous adjustment process have not been completed for all jobs. In this case, the control unit 102 sets the process to be performed for the job type with the next highest rank (step S9), and repeats the process from step S3.

[0052] Assume that in the determination process of step S8, it is determined that the job ranking process, workload optimization process, and continuous adjustment process have been completed for all job types. In this case, as explained using FIG. 4, the user's stress level can be grasped by job type, job type, and workload (load level) without placing an excessive load on the user, so the process of the flowchart of FIG. 5 is terminated. In other words, the process of the flowchart of FIG. 5 allows necessary data to be accumulated in the stress level accumulation unit explained using FIG. 4. Next, each of the job ranking process (step S2), job ranking process (step S3), workload optimization process (step S4), and continuous adjustment process (step S5), which are executed in the process explained using the flowchart of FIG. 5, will be specifically explained.

[0053] <Job ranking process> Fig. 6 is a flowchart for explaining the job type ranking process executed in step S2 of Fig. 5. The job type ranking process executed in step S2 of Fig. 5 is a process performed by the job type ranking unit 121 functioning under the control of the control unit 102. First, the job type ranking unit 121 assigns the value "0 (zero)" to a variable n to initialize the variable n (step S201). Thereafter, the job type ranking unit 121 starts a loop process of steps S202 to S208.

[0054] The job type ranking unit 121 determines whether the variable n has reached the maximum value MAX (step S203). In this embodiment, as explained with reference to FIG. 3, the job types input into the job type job table 105 are four, job type J(1) to job type J(4), and therefore the maximum value MAX is 4. Therefore, in this embodiment, the determination process in step S203 is a process of determining whether the variable n has reached the value 4. Note that as the number of job types input into the job type job table 105 increases, the value of the maximum value MAX also increases accordingly.

[0055] Assume that in the determination process of step S203, it is determined that the variable n is not the maximum value MAX. In this case, the predetermined process (the process of steps S303 to S306) for all job types has not yet ended. Therefore, the job type ranking unit 121 adds 1 to the variable n (step S204) and requests the user to perform the job W(1) of job type J(n) (step S205). The process of step S205 is a process of prompting the user to perform the job W(1) of job type J(n) by displaying a display message on the display unit 108 or emitting a voice message from the speaker 112.

[0056] After that, the job ranking unit 121 starts a process of receiving the user's pulse wave data from the pulse wave acquiring device 2 worn on the user's arm via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107, and storing the data in the storage device 103 (step S206). In step S206, the pulse wave data from the user is stored in the storage device 103 by job type and by task. After that, the job ranking unit 121 determines whether the user has completed a task with load level 1 in the task W(1) of the job type J(n) (step S207). For example, when the variable n is 1, the determination process in step S207 is a process of determining whether the user has completed writing "one" slip at load level 1 in the task W(1) of "writing with a pen" in the job type J(1), according to the example of FIG. 3.

[0057] In step S207, whether the user has finished the work is determined as being finished when the user, having finished the work of load level 1 that he / she was prompted to perform, touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1. If the variable n is set to the value 1, when the user, having completed one slip, touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1, an output signal is sent from the touch sensor 109 of the touch panel 110. If the output signal is supplied to the job type ranking unit 121, or if the control unit 102, having received the output signal, instructs the job type ranking unit 121 to finish, it can be determined that the user has finished the work that he / she was instructed to perform.

[0058] If it is determined in the determination process of step S207 that the user has not yet finished the job that has been instructed to be performed, the determination process of step S207 is repeated to wait for the user to finish the job that has been instructed to be performed.If it is determined in the determination process of step S207 that the user has finished the job that has been instructed to be performed, the job type ranking unit 121 returns from the end of the loop (step S208) to the start of the loop (step S202) and repeats the process from step S203.

[0059] If it is determined in the determination process of step S203 that the variable n has reached the maximum value MAX, this means that the predetermined process (the process of steps S303 to S306) for all occupations has ended. Therefore, occupation ranking unit 121 ranks the occupations (step S209). In step S209, occupation ranking unit 121 analyzes the user's pulse wave data stored and held in storage device 103 by occupation type and job type through the loop process described above, and determines the stress level at load level 1 for each occupation type and job type. Thereafter, the determined stress level is recorded in the corresponding area of ​​stress level accumulation unit 106.

[0060] As a result, the stress level accumulation unit 106 updates the stress level in the load level 1 column for job W(1) for each of job type J(1), job type J(2), job type J(3), and job type J(4). Furthermore, the job ranking unit 121 ranks the stress levels of the load level 1 for job W(1) for each of job type J(1), job type J(2), job type J(3), and job type J(4) in the stress level accumulation unit 106 in descending order. In this case, the job ranking is performed so that the lowest stress level is assigned a higher rank. Thereafter, the job ranking unit 121 selects the job type J(x) with the highest rank (step S210) and exits the routine shown in FIG. 6 (job ranking processing routine).

[0061] In this way, the job ranking process performed by the job ranking unit 121 ranks multiple job types to which the work performed by the user belongs (is classified), and selects the job type that the user likes (is best at).

[0062] <Job ranking process> FIG. 7 is a flowchart illustrating the job ranking process executed in step S3 of FIG. 5. The job ranking process executed in step S3 of FIG. 5 is performed by the job ranking unit 122 under the control of the control unit 102. The job ranking unit 122 first assigns the value "1" to variable m to initialize variable m (step S301). The reason for assigning the value "1" rather than "0" to variable m is that the stress level of job W(1) for each job type J(1) to J(4) has been grasped by the job type ranking process executed in step S2 of FIG. 5, and therefore jobs W(2) to W(4) are to be processed. Thereafter, the job ranking unit 122 starts a loop process of steps S302 to S308.

[0063] The job ranking unit 122 determines whether the variable m has reached the maximum value MAX (step S303). In this embodiment, the jobs input into the job-by-job table 105 are four, namely jobs W(1) to W(4), for each of job types J(1) to J(4), and therefore the maximum job value MAX is 4. Therefore, in this embodiment, the determination process in step S303 is a process of determining whether the variable m has reached the value 4. Note that as the number of jobs for each job type input into the job-by-job table 105 increases, the value of the maximum job value MAX also increases accordingly.

[0064] Assume that in the determination process of step S303, it is determined that the variable m is not the maximum value MAX. In this case, the predetermined process (the process of steps S303 to S307) targeting all jobs of the job type J(x) has not yet been completed. Therefore, the job ranking unit 122 adds 1 to the variable m (step S304) and requests the user to perform the job W(m) of the job type J(x) (step S305). That is, the process of step S305 is a process of prompting the user to perform the job W(m) of the job type J(x) by displaying a display message on the display unit 108 or emitting a voice message from the speaker 112.

[0065] After this, the job ranking unit 122 starts a process of receiving the user's pulse wave data from the pulse wave acquiring device 2 worn on the user's arm via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107, and storing the data in the storage device 103 (step S306). In step S306, the pulse wave data from the user is stored in the storage device 103 by job type and by job. After this, the job ranking unit 122 determines whether the user has completed a job of load level 1 in the job W(m) of job type J(x) (step S307). For example, when the variable m is the initial value 2 and the job type J(x) is job type J(1), the determination process in step S307 determines whether the user has completed copying "one page" of the "copying" job W(2) of "writing with a pen" of job type J(1) at load level 1.

[0066] In step S307, whether the user has finished the work is determined as being finished when the user, having finished the work of load level 1 that they were prompted to perform, touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1. If the variable m is the value 2, when the user, having finished one page of the manuscript, touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1, an output signal is sent from the touch sensor 109 of the touch panel 110. If the output signal is supplied to the work ranking unit 122, or if the control unit 102, having received the output signal, instructs the work ranking unit 122 to finish, it can be determined that the work that the user has been instructed to perform has been finished.

[0067] If it is determined in the determination process of step S307 that the user has not yet finished the task that has been instructed to be executed, the determination process of step S307 is repeated to wait for the user to finish the task that has been instructed to be executed. If it is determined in the determination process of step S307 that the user has finished the task that has been instructed to be executed, the task ranking unit 122 returns from the end of the loop (step S308) to the start of the loop (step S302) and repeats the process from step S303.

[0068] Assume that in the determination process of step S303, it is determined that the variable m has reached its maximum value MAX. This means that the predetermined process (the process of steps S303 to S307) targeting all jobs W(1) to W(4) of job type J(x) has been completed. Therefore, the job ranking unit 122 ranks the jobs (step S309). In step S309, the job ranking unit 122 analyzes the user's pulse wave data stored in the storage device 103 for each job W(2) to W(4) of job type J(x), and determines the stress level for each of jobs W(1) to W(4) of job type J(x) at load level 1. The determined stress levels are then recorded in the corresponding areas of the stress level accumulation unit 106.

[0069] As a result, the stress level in the load level 1 column for each of the jobs W(2) to W(4) of job type J(x) is updated in the stress level accumulation unit 106. Furthermore, the job ranking unit 122 ranks the stress levels of each of the jobs W(1) to W(4) of job type J(x) in the stress level accumulation unit 106 in order of decreasing stress level for load level 1. In this case, the ranking by job is performed so that the lowest stress level is assigned the highest rank. Thereafter, the job ranking unit 122 selects the job W(x) with the highest rank (step S310) and exits the routine shown in FIG. 7 (job ranking processing routine).

[0070] In this way, the job ranking process performed by the job ranking unit 122 ranks the jobs W(1) to W(4) belonging to a predetermined job type J(x) performed by the user, and selects the job that the user likes (is best at).

[0071] <Load optimization treatment> Fig. 8 is a flowchart for explaining the workload optimization process executed in step S4 of Fig. 5. The workload optimization process executed in step S4 of Fig. 5 is a process performed in the workload optimization unit 123 under the control of the control unit 102. The workload optimization unit 123 starts a loop process of steps S401 to S406. First, the workload optimization unit 123 refers to the job-by-job table 105 for a job W(x) of job type J(x), raises the workload (load level) by one level, and requests the job from the user (step S402).

[0072] That is, the processing in step S402 is processing to raise the workload (load level) for job W(x) of job type J(x) by one level and prompt the user to perform the job, by displaying a display message on display unit 108 or emitting a voice message from speaker 112. Also, in step S402, job type J(x) is the one selected in step S210 of the processing in the flowchart of FIG. 6, and job W(x) is the one selected in step S310 of the processing in the flowchart of FIG. 7.

[0073] Next, the workload optimization unit 123 starts a process of receiving the user's pulse wave data from the pulse wave acquisition device 2 worn on the user's arm via the short-range wireless communication antenna 107A and the short-range wireless communication unit 107, and storing the data in the storage device 103 (step S403). In step S403, the pulse wave data from the user is stored in the storage device 103 by job type and by task. Thereafter, the workload optimization unit 123 determines whether the user has completed the work of the job W(x) in the job type J(x) with the corresponding workload (load level) (step S404).

[0074] In the determination process of step S404, for example, assume that the job type J(x) is job type J(1), the job W(x) is job W(1), and the workload (load level) is increased by one, resulting in a request to write two slips. In this case, in step S404, it is determined whether the user has completed "writing two slips" at load level 2 of "writing slips" in the job W(1) of "writing with a pen" in the job type J(1). Note that in step S404, the determination of whether the user has finished the job is performed in the same manner as the process of step S307 shown in FIG. 7.

[0075] That is, when a user who has finished a task of a load level that the user has been prompted to perform touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1, this is determined to be the end. For example, in the above example, when a user who has finished writing two slips touches the finish button displayed on the display unit 108 of the touch panel 110 of the biological information management device 1, an output signal is sent from the touch sensor 109 of the touch panel 110. When this output signal is supplied to the task ranking unit 122, or when the control unit 102 receives this output signal and instructs the task ranking unit 122 to end, it can be determined that the task that the user has been instructed to perform has ended.

[0076] If it is determined in the determination process of step S404 that the user has not yet completed the task for which execution was instructed, the determination process of step S404 is repeated until the user completes the task for which execution was instructed. Assume that it is determined in the determination process of step S404 that the user has completed the task for which execution was instructed. In this case, the workload optimization unit 123 analyzes the user's pulse wave data accumulated in step S403 to obtain a stress level, and determines whether the stress level has increased compared to the previous workload (load level) (step S405). If it is determined in the determination process of step S405 that the stress level obtained by analysis has not increased compared to the previous workload (load level), it can be determined that the user is not experiencing stress from the executed task even if the workload is increased. In this case, the process returns from the loop end (step S406) to the loop start (step S401), and the process from step S402 is repeated.

[0077] Furthermore, if the stress level obtained through analysis in the determination process of step S405 is determined to be higher than the previous load (load level), then increasing the load will determine that the work being performed is causing stress. Therefore, continuing the work or further increasing the load will place a heavy burden on the user performing the work. Therefore, the work is stopped at the current load (load level), and the load (load level) of the work W(x) for the job type J(x) is restored by one (step S407), and the load optimization process routine is terminated.

[0078] In this way, the workload optimization process explained using the flowchart in Fig. 8 is a process for determining up to what workload (load level) the encouraged work can be performed without increasing the stress level. In other words, the workload optimization process shown in Fig. 8 is a process for determining the optimum value for the workload of the work.

[0079] <Continuous adjustment process> Fig. 9 is a flowchart for explaining the continuous adjustment process executed in step S5 of Fig. 5. As described above, the continuous adjustment process executed in step S5 of Fig. 5 is a process performed by the continuous adjustment unit 124 under the control of the control unit 102. The continuous adjustment unit 124 starts the loop process of steps S501 to S506. First, the continuous adjustment unit 124 requests the execution of a job W(x) of job type J(x) in a state where the workload (load level) has been returned to the state before the stress level increased by the workload optimization process described using Fig. 8 (step S502).

[0080] That is, the processing in step S502 is processing for prompting the user to perform job W(x) of job type J(x) by displaying a display message on display unit 108 or emitting a voice message from speaker 112. In this case, the user is prompted to perform job W(x) with the workload (load level) reduced by one by the workload optimization processing (FIG. 8). Also, in step S502, job type J(x) is the one selected in step S210 of the processing in the flowchart of FIG. 6, and job W(x) is the one selected in step S310 of the processing in the flowchart of FIG. 7.

[0081] Next, continuation adjustment unit 124 starts a process of receiving the user's pulse wave data from pulse wave acquisition device 2 worn on the user's arm via short-range wireless communication antenna 107A and short-range wireless communication unit 107, and storing the data in storage device 103 (step S503). In step S503, the pulse wave data from the user is stored in storage device 103 by job type and by task. Thereafter, continuation adjustment unit 124 determines whether the user has completed the work of job W(x) of job type J(x) with the corresponding workload (load level) (step S504). This determination process in step S504 is the same as the determination process in step S404 described using FIG. 8.

[0082] If it is determined in the determination process of step S504 that the user has not yet finished the task that has been instructed to be performed, the determination process of step S504 is repeated until the user finishes the task that has been instructed to be performed. If it is determined in the determination process of step S504 that the user has finished the task that has been instructed to be performed, in this case, the continuous adjustment unit 124 analyzes the pulse wave data of the user that was accumulated in step S503 to obtain a stress level, and determines whether the stress level has increased from the previous load amount (load level) (step S505).

[0083] In the determination process of step S505, if it is determined that the stress level obtained by analysis has not increased compared to the previous load (load level), it can be determined that the work performed at the current load is not causing stress. In this case, the process returns from the end of the loop (step S506) to the start of the loop (step S501), and the process from step S502 is repeated, continuing the execution of the work W(x) of the job type J(x).

[0084] Also, suppose that in the judgment process of step S505, it is determined that the stress level obtained through analysis has increased compared to the previous load (load level). In this case, even though the load was reduced in the load optimization process (FIG. 8), the stress level increased due to the continuation of the work. Therefore, if the user continues to perform the work, the stress level may increase further. Therefore, the process exits the continuation adjustment process routine shown in FIG. 9 and returns to the process of step S6 of the main routine of FIG. 5. In this way, the continuation adjustment process described using the flowchart of FIG. 9 is a process that continues the work that the user was encouraged to perform within a range that does not increase the stress level.

[0085] [Effects of the embodiment] According to the biological information management device 1 of the above-described embodiment, the process described using the flowcharts of FIGS. 5 to 9 allows the user to find a favorite job in a type of occupation that the user is good at (or is good at), and the execution of the favorite job can be controlled while increasing the load. When the load limit for the job being executed is reached, the execution of that job can be terminated and the next job can be executed. Therefore, the user can move from a favorite job in a type of occupation that the user is good at (or is good at) to a job that the user is bad at (or is not good at), and the execution of the job can be appropriately controlled while controlling the load (load level). Therefore, it is possible to achieve goals such as maintaining the user's physical functions and preventing dementia efficiently and without imposing a heavy load.

[0086] Furthermore, according to the biological information management device 1 of the above-described embodiment, the stress level status when the user performs various tasks can be accumulated in the stress level accumulation unit 106 (FIG. 4) by job type, task type, and workload level through the processing of the flowcharts of FIGS. 5 to 9. Therefore, the biological information management device 1 can control the execution of tasks for the user using the data stored in the stress level accumulation unit 106 without having to perform the processing shown in FIGS. 5 to 9 again. For example, the biological information management device 1 can execute tasks so that the user transitions from a task that the user likes (is good at) to a task that the user dislikes (is poor at), while controlling the workload level so as not to excessively increase the stress level. Conversely, the biological information management device 1 can execute tasks so that the user transitions from a task that the user dislikes (is poor at) to a task that the user likes (is good at), while controlling the workload level so as not to excessively increase the stress level. In this way, task execution control using the accumulated data in the stress level accumulation unit 106 (FIG. 4) can be achieved by cooperation between the analysis processing unit 125 and the control unit 102 of the biological information management device 1.

[0087] In addition, the data stored in the stress level accumulation unit 106 can be used to allow the user to select one favorite job for each job type and perform the job while controlling the workload so that the stress level does not increase excessively. In other words, the data stored in the stress level accumulation unit 106 can be used to control the execution of work in various ways.

[0088] [Variations] In the above-described embodiment, as explained using the flowchart of FIG. 5, the job ranking process (step S2), the work ranking process (step S3), the workload optimization process (step S4), and the continuous adjustment process (step S5) are performed. However, there are cases where multiple jobs do not exist. For example, there may be a case where the only work a user can perform is a job classified as "writing with a pen." In such a case, the job ranking process (step S2) can be omitted. That is, the job ranking process (step S3) is performed first, the workload optimization process (step S4) is performed second, and the continuous adjustment process (step S5) is performed third.

[0089] Furthermore, in the above-described embodiment, in the job ranking process (step S3), jobs are executed starting with the highest ranked job type, but conversely, jobs may be executed starting with the lowest ranked job type. In this way, jobs that the user dislikes (is not good at) can be completed first. Similarly, in the load optimization process (step S4), jobs are executed starting with the highest ranked job, but conversely, jobs may be executed starting with the lowest ranked job. In this way, jobs that the user dislikes (is not good at) can be completed first. Furthermore, it is also possible to change the load from a high load to a low load. However, in this case, care must be taken as there may be a case where a heavy load is imposed on the user from the start.

[0090] In the above-described embodiment, as explained using the flowchart of FIG. 5, the job ranking process (step S2), the work ranking process (step S3), the workload optimization process (step S4), and the continuous adjustment process (step S5) are performed. However, this is not limited to this. As described above, the continuous adjustment process (step S5) is a process for continuing the encouraged work to a degree that does not increase the stress level. For this reason, in the flowchart of FIG. 5, the continuous adjustment process (step S5) may not be performed. This allows the user to transition to the next job or work of the next job type when the workload increases and exceeds the user's workload limit.

[0091] <Application to other fields> In the above-described embodiment, an example has been described in which elderly people in elderly care facilities are assigned various tasks to maintain their physical functions and prevent dementia, but the present invention is not limited to this. For example, when assigning tasks to employees in a company, the biometric information management system of the above-described embodiment can be used to have employees experience various tasks and identify tasks that they like (are good at) and tasks that they dislike (are not good at). This makes it possible to assign employees to tasks that they like (are good at). Furthermore, even when assigning employees to tasks that they dislike (are not good at), the workload can be controlled to prevent excessive stress levels.

[0092] Furthermore, in schools, children, pupils, and students can be given various learning experiences using the biometric information management system of the above-described embodiment, and then their favorite (good) and least favorite (bad) subjects can be objectively determined using the criterion of stress level. This makes it possible to have students study their least favorite (bad) subjects while controlling the amount of stress so as not to excessively increase their stress level. In this way, it becomes possible to objectively determine whether a user likes or dislikes (good at or bad at) multiple tasks (jobs) they perform, and to utilize this.

[0093] <Other examples of relevant information obtained from pulse waves> In the above-described embodiment, the stress level obtained by analyzing pulse wave data is used, but this is not limiting. As described above, the brain fatigue level can also be obtained by analyzing pulse wave data. Therefore, the above-described processing can be performed using the brain fatigue level instead of the stress level. Furthermore, if other related information, such as tension level or concentration level, can be obtained from the pulse wave data, the above-described processing can also be performed using the other related information.

[0094] <Other examples of biometric information> In the biometric information management system of the above-described embodiment, the user's pulse wave is used as biometric information, but this is not limited to this. For example, various types of biometric information, such as pulse rate, heart rate, blood pressure, body temperature, and the state of electrical current on the skin surface, can be used to grasp the user's condition. Furthermore, the type of biometric information is not limited to one, and multiple types of biometric information can be used in combination. Therefore, various types of biometric information of the user can be used to obtain related information that can grasp the user's condition, such as stress level, brain fatigue level, tension level, and concentration level, and the above-described processing can be performed using this information. Furthermore, the user's biometric information itself can be used to grasp the user's condition and to grasp their likes / dislikes (strengths / weaknesses) for the work (task) they are performing, without using related information such as stress level, brain fatigue level, tension level, and concentration level.

[0095] <Using an external server device> The biological information management device according to the above-described embodiment includes a wireless antenna 101A and a LAN I / F 101, and is connectable to a LAN or the Internet. Therefore, the occupation ranking unit 121, the work ranking unit 122, the workload optimization unit 123, and the continuous adjustment unit 124 transmit the accumulated pulse wave data to a server device that calculates a stress level over a LAN or the Internet. The biological information management device may then receive the calculated stress level from the server device and store it in the stress level accumulation unit 106. This reduces the load on the biological information management device, and by using a server device with high processing power and AI (artificial intelligence) functionality, for example, the stress level can be determined quickly and accurately.

[0096] <Sharing a biometric management system by multiple people> In the above-described embodiment, the biological information management system is configured using the biological information management device 1 and the pulse wave acquiring device 2, and the description is based on the assumption that the biological information management system is used by one user. However, there are cases where multiple people take turns using the biological information management system. In this case, the job-specific work table 105 can be shared if it can be shared, or if it is desired to use a different job-specific work table for each user, a user-specific job-specific work table can be created in which the workload (load level) is set for each user, job type, and job, and these can be used depending on the user.

[0097] Furthermore, when the biological information management system is shared by multiple people, the stress level accumulation unit 106 may be configured to accumulate stress levels by user, allowing stress levels to be updated for each user, job type, task, and workload (load level).In this way, when the biological information management system is shared by multiple people, user identification information such as a user number or user code unique to each user may be input into the biological information management device 1 at the start of work, so that the users can be identified.

[0098] <Application to the program> The functions of the job ranking unit 121, the work ranking unit 122, the workload optimization unit 123, and the continuous adjustment unit 124 of the biological information management device 1 described using Fig. 2 can also be realized as functions of the control unit 102 by a program executed by the control unit 102. Simply put, the above-mentioned biological information management device can be realized by creating a program that executes the processes described using the flowcharts of Figs. 5 to 9 and installing this program in an information processing device such as a notebook PC or a tablet PC. Similarly, the function of the analysis processing unit 125 can also be realized as a function of the control unit 102 by a program executed by the control unit 102. [Explanation of symbols]

[0099] 1...Biometric information management device, 101A...Wireless antenna, 101...LAN I / F, 102...Control unit, 103...Storage device, 104...Operation unit, 105...Job-specific work table, 106...Stress level accumulation unit, 107A...Near-field wireless communication antenna, 107...Near-field wireless communication unit, 108...Display unit, 109...Touch sensor, 110...Touch panel, 111...Audio output unit, 112...Speaker, 121...Job-specific ranking unit, 122...Job ranking unit, 123...Load amount optimization unit, 124...Continuous adjustment unit, 125...Analysis processing unit, 2...Pulse wave acquisition device

Claims

1. a table storage means for storing table data by job and load; a biological information acquiring means for acquiring biological information of a user from a measuring device worn by the user; a job ranking means for sequentially prompting the user to perform the jobs stored in the table storage means and ranking each job based on the biometric information of the user during the execution of the job, the biometric information being acquired through the biometric information acquisition means; a load amount optimization means for sequentially changing the load amount in the table storage means in an order according to the ranks assigned by the job ranking means, thereby urging the user to perform the job, and for grasping the stress state of the user based on the biometric information of the user while performing the job acquired through the biometric information acquisition means, and for decreasing the load amount when the stress increases; A biological information management device comprising:

2. The biological information management device according to claim 1, The table data in the table storage means is further classified by job type, a job ranking means for referring to the table storage means, prompting the user to perform one job for each job type, and ranking the user for each job type based on the biometric information of the user while performing the job, the biometric information being acquired through the biometric information acquisition means; The job ranking means sequentially prompts the execution of the jobs stored in the table storage means for each job type in the order according to the ranks assigned by the job type ranking means. A biological information management device characterized by:

3. 3. The biological information management device according to claim 1, a continuous adjustment means for encouraging the user to perform the work whose workload has been reduced by the workload optimization means, grasping the user's stress state based on the biometric information of the user while performing the work acquired through the biometric information acquisition means, and terminating the work if the user's stress increases; A biological information management device comprising:

Images