Information processing method, computer program, information processing device, and information processing system

Abstract

This information processing method causes a computer to execute processing for acquiring motion information detected by an motion detection device for detecting a motion of a subject, storing the acquired motion information in a storage unit, deriving reference motion information of the body left side and the body right side of the subject on the basis of the stored motion information for a predetermined period, and determining whether an abnormal state exists in which there is a possibility of cerebral infarction in the subject on the basis of the derived reference motion information and the motion information of the body left side and the body right side of the subject for a detection time subsequent to the predetermined period.

Description

[Technical field]

[0001] The present technology relates to an information processing method, a computer program, an information processing device, and an information processing system. [Background technology]

[0002] Cerebral infarction is a state in which brain tissue dies due to cerebral ischemia caused by the blockage or narrowing of cerebral blood vessels. The causes of cerebral infarction are mainly classified into thrombotic, embolic, and hemodynamic, specifically, atherothrombotic cerebral infarction, cardiogenic cerebral infarction, lacunar infarction, and others. When cerebral infarction occurs, cells downstream of the blocked or narrowed cerebral blood vessels die, resulting in symptoms such as paralysis, speech disorder, blindness, dizziness, ataxia, and impaired consciousness.

[0003] Since cerebral infarction expands over time, the later it is detected, the more serious it becomes. Therefore, it is important to detect cerebral infarction early after these symptoms occur. Patent Document 1 describes a method for detecting cerebral infarction by measuring the concentration of nicked β2 glycoprotein I in a body fluid sample. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2003-121444 A Summary of the Invention [Problem to be solved by the invention]

[0005] It is possible to detect cerebral infarction by a subject actively using a diagnosis using a method such as that described in Patent Document 1. However, symptoms indicating the occurrence of cerebral infarction or cerebral ischemia often appear suddenly in daily life. In addition, symptoms such as transient ischemic attack are transient and disappear in a short time. In such cases, even if symptoms of cerebral infarction or cerebral ischemia appear, the subject may not be aware of the symptoms or the symptoms may be overlooked, and cerebral infarction may not be detected.

[0006] An object of the present disclosure is to provide an information processing method etc. capable of determining whether or not a subject has an abnormal condition that may indicate cerebral infarction. [Means for solving the problem]

[0007] An information processing method according to one aspect of the present disclosure acquires motion information detected by a motion detection device that detects the motion of a subject, stores the acquired motion information in a memory unit, derives reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time, and causes a computer to execute a process of determining whether the subject is in an abnormal state that may indicate cerebral infarction based on the derived reference motion information and the motion information of the left and right halves of the subject at a detection time after the predetermined period.

[0008] A computer program according to one aspect of the present disclosure causes a computer to execute a process of acquiring motion information detected by a motion detection device that detects the motion of a subject, storing the acquired motion information in a memory unit, deriving reference motion information of the left and right halves of the subject based on the stored motion information for a predetermined period of time, and determining whether the subject is in an abnormal state that may indicate cerebral infarction based on the derived reference motion information and the motion information of the left and right halves of the subject at a detection time after the predetermined period.

[0009] An information processing device according to one aspect of the present disclosure includes a motion information acquisition unit that acquires motion information detected by a motion detection device that detects the motion of a subject, a memory unit that stores the motion information acquired by the motion information acquisition unit, a derivation unit that derives reference motion information of the left and right halves of the subject based on the motion information for a predetermined period stored in the memory unit, and a determination unit that determines whether the subject is in an abnormal state that may indicate cerebral infarction based on the reference motion information derived by the derivation unit and the motion information of the left and right halves of the subject at a detection time after the predetermined period.

[0010] An information system according to one aspect of the present disclosure includes a motion detection device that detects motions of a subject, and an information processing device that acquires motion information from the motion detection device, wherein the information processing device is equipped with a motion information acquisition unit that acquires the motion information detected by the motion detection device, a memory unit that stores the motion information acquired by the motion information acquisition unit, a derivation unit that derives reference motion information of the left and right halves of the subject based on the motion information for a predetermined period stored in the memory unit, and a determination unit that determines whether the subject is in an abnormal state that may indicate cerebral infarction, based on the reference motion information derived by the derivation unit and the motion information of the left and right halves of the subject at a detection time after the predetermined period. Effect of the Invention

[0011] According to the present disclosure, it is possible to determine whether or not a subject has an abnormal condition that may indicate cerebral infarction. [Brief description of the drawings]

[0012] [Figure 1] 1 is a schematic diagram of an information processing system according to a first embodiment. [Diagram 2] FIG. 1 is a block diagram showing a configuration of an information processing device. [Figure 3A] 1 is an explanatory diagram illustrating an example of a record layout of a subject information DB. [Figure 3B] 11 is an explanatory diagram illustrating an example of a record layout of a motion information DB; [Figure 3C] 11 is an explanatory diagram illustrating an example of a record layout of a reference motion information DB; [Figure 4] FIG. 2 is a block diagram showing a configuration of a detection device. [Diagram 5] FIG. 2 is a block diagram showing a configuration of a terminal device. [Figure 6] 13 is a flowchart illustrating an example of a processing procedure for acquiring reference motion information. [Figure 7] 13 is a flowchart illustrating an example of an abnormal state determination process procedure. [Figure 8] FIG. 11 is an explanatory diagram relating to a process for determining an abnormal state. [Figure 9] FIG. 13 is a diagram showing an example of a notification screen displayed on a display unit. [Figure 10] 13 is a flowchart illustrating an example of a processing procedure related to warning information. [Figure 11] FIG. 13 is a diagram showing an example of a warning screen displayed on a display unit. [Figure 12] FIG. 11 is a block diagram showing the configuration of a detection device according to a second embodiment. [Figure 13] 10 is a flowchart showing an example of an abnormal state determination process procedure in the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] The present invention will now be described in detail with reference to the drawings showing embodiments thereof.

[0014] (First embodiment) FIG. 1 is a schematic diagram of an information processing system 100 in a first embodiment. The information processing system 100 in this embodiment is a system that determines the possibility of cerebral infarction from motion information of a subject. The information processing system 100 includes an information processing device 1 and a motion detection sensor 2a provided in a detection device 2. The information processing device 1 and the detection device 2 can transmit and receive information via a network N such as the Internet. The information processing device 1 is further communicatively connected to a terminal device 3 via the network N.

[0015] The information processing device 1 determines the risk of symptoms or signs of cerebral infarction or cerebral ischemia, i.e., the possibility of cerebral infarction, in the subject based on the motion information of the subject acquired from the detection device 2. The information processing device 1 provides information according to the determination result via the terminal device 3 or the like.

[0016] The motion information is a parameter that indicates the motion amount of the subject. The motion amount is, for example, the movement amount (movement speed) per unit time of each part of the subject, such as the limbs, head, etc., the movement distance, shaking, angular velocity, etc., and is obtained from an image of the subject, as described later. Note that, as described later, the motion amount is not limited to that obtained from an image, and may be data detected by a microwave sensor, a millimeter wave sensor, an ultrasonic sensor, an acceleration sensor, etc.

[0017] The detection device 2 is provided, for example, in the subject's residence, etc., and detects the subject's movements in daily life. The detection device 2 includes a movement detection sensor (movement detection device) 2a, and transmits movement information detected by the movement detection sensor 2a to the information processing device 1. It is preferable that a plurality of movement detection sensors 2a are provided in a plurality of areas, such as the living room, dining room, kitchen, washroom, bedroom, etc., in the subject's residence. The movement detection sensor 2a should be installed in a position where the subject can live without being aware of the sensor. The detection device 2 may include a biological information detection sensor (biological information detection device) 2b in addition to the movement detection sensor 2a. The biological information detection sensor 2b will be described in detail in another embodiment.

[0018] The motion detection sensor 2a is, for example, a camera that captures an image within an imaging target area. The motion detection sensor 2a has an imaging element such as a CCD (Charge Coupled Device) image sensor and a lens, and obtains motion information, which is image data, by photoelectrically converting light incident through the lens with the imaging element. The motion detection sensor 2a may be a stereo camera consisting of a plurality of imaging elements. By analyzing the image data captured by the motion detection sensor 2a, it becomes possible to recognize the motion of the subject contained in the image data in two or three dimensions. The motion detection sensor 2a is not limited to the above-mentioned camera, and may detect the position and shape of the subject using, for example, an ultrasonic sensor, a microwave sensor, a millimeter wave sensor, a laser radar sensor, etc. The motion detection sensor 2a may measure the eye movement of the subject using a gaze detection sensor to detect the gaze direction and viewpoint, etc. The detection device 2 obtains the detection value of the motion detection sensor 2a.

[0019] In the above, the configuration in which the detection device 2 is installed in the residence of the subject has been described, but this embodiment is not limited thereto. For example, the detection device 2 may be configured as a wearable device and worn by the subject. The detection device 2 has, for example, a glasses-type shape. The detection device 2 includes a motion sensor that measures acceleration, angular velocity, and geomagnetism in three axes as the motion detection sensor 2a, and detects the motion of the subject. The detection device 2 may include a myoelectric potential sensor, which is the motion detection sensor 2a, at a position that contacts the nose, head, etc. of the subject when worn, and detect the facial myoelectric potential of the subject. The detection device 2 may include a myoelectric potential sensor, which is the motion detection sensor 2a, at a position that contacts the nose of the subject when worn, and detect the subject's eye potential to detect the gaze direction and actions such as blinking. The detection device 2 is not limited to having a glasses-type shape, and may have, for example, a band shape and be worn on the subject's hands, feet, waist, etc. The detection device 2 may have, for example, a sheet shape with elasticity, and be attached to the subject's body. Furthermore, the detection device 2 may be configured as a cavity device, such as a contact lens type or a mouthpiece type, and may be attached to a body cavity of a subject.

[0020] A plurality of detection devices 2 may be attached to the subject. The detection device 2 may be configured by combining a plurality of types of motion detection sensors 2a, and may obtain detection values ​​by the plurality of types of sensors. For example, a camera may detect information of the entire imaging area including the subject, and a laser radar sensor or the like may detect the motion of the subject identified based on the detected imaging data.

[0021] In the information processing system 100, the motion detection sensor 2a detects motion information, particularly on motions that the subject repeats on a daily basis. The detected motion information is analyzed to obtain the motion states of the left and right halves of the subject, and the motion states are compared with the normal motion states of the left and right halves of the subject to determine the possibility of cerebral infarction in the subject. For example, the sudden appearance of symptoms, such as numbness in the face, limbs, difficulty in seeing, and slurred speech, especially on one side of the body, is highly likely to be caused by a part of the brain not functioning. Therefore, by detecting the sudden occurrence of a difference between the left and right sides in the motion of the subject, it is possible to identify the possibility of the onset or precursor of cerebral infarction or cerebral ischemia. The configuration and detailed processing of such an information processing system 100 will be described below.

[0022] 2 is a block diagram showing the configuration of the information processing device 1. The information processing device 1 uses a server computer. The information processing device 1 includes a control unit 10, a storage unit 11, and a communication unit 12. For ease of explanation, the information processing device 1 will be described as one server computer, but functions or processes may be distributed among multiple server computers, or the information processing device 1 may be one of multiple server computers (instances) virtually generated on one large computer.

[0023] The control unit 10 is a processor using one or more CPUs (Central Processing Units), GPUs (Graphics Processing Units), etc., and uses built-in memories such as ROM (Read Only Memory) or RAM (Random Access Memory) to control each component and execute processing.

[0024] The communication unit 12 is a communication interface that realizes communication via the network N. The communication unit 12 enables the control unit 10 to transmit and receive information to and from the detection device 2, other external devices, and the like via the network N.

[0025] The storage unit 11 includes a non-volatile memory such as a hard disk or an SSD (Solid State Drive). The storage unit 11 stores programs and data referenced by the control unit 10, including the program 1P. The control unit 10 reads and executes the program 1P to cause a general-purpose server computer to function as an information processing device specific to the present disclosure. The program 1P stored in the storage unit 11 may be recorded in a computer-readable manner on a recording medium. The storage unit 11 stores the program 1P read from the recording medium 1A by a reading device not shown. The program 1P may also be downloaded from an external computer not shown connected to a communication network not shown and stored in the storage unit 11. The storage unit 11 may be composed of multiple storage devices, or may be an external storage device connected to the information processing device 1.

[0026] The storage unit 11 also stores a subject information DB (Data Base) 111, a detection value DB 112, a reference motion information DB 113, etc. Fig. 3A is an explanatory diagram illustrating an example of a record layout of the subject information DB 111, Fig. 3B is an explanatory diagram illustrating an example of a record layout of the detection value DB 112, and Fig. 3C is an explanatory diagram illustrating an example of a record layout of the reference motion information DB 113.

[0027] The subject information DB111 is a database that stores information on subjects who use the information processing system 100. For example, as shown in FIG. 3A, the subject information DB111 stores information such as the subject ID of each of a plurality of subjects, the subject's name, age, address, image data of the subject's face, notification destination, and emergency notification destination in association with each other. The notification destination includes a notification destination that outputs a notification when an abnormal condition that may be cerebral infarction occurs in the subject. The notification destination stores, for example, a MAC address and an email address of the terminal device 3 owned by the subject. The emergency contact includes a notification destination in an emergency when the subject is highly likely to have cerebral infarction. The emergency contact stores, for example, a telephone number of a person other than the subject.

[0028] The detection value DB 112 is a database that stores the detection values ​​detected by the motion detection sensor 2a, motion information, etc. As shown in Fig. 3B, the detection value DB 112 stores information such as detection date and time, sensor information, detection value, motion information, subject ID, motion pattern, etc. in a time series while being associated with each other. Each piece of motion information stored in the detection value DB 112 is acquired and stored by the control unit 10 every time the control unit 20 of the detection device 2 acquires motion information and transmits the acquired motion information to the information processing device 1.

[0029] The sensor information includes identification information for identifying the motion detection sensor 2a that output the detection value, for example, a unique ID of the sensor is stored. The detection value is stored as the detection value of the motion detection sensor 2a.

[0030] The motion information sequence includes a left motion information sequence and a right motion information sequence. The left motion information sequence and the right motion information sequence store motion information indicating motions of the left and right halves of the subject's body, respectively. The left motion information and the right motion information are parameters indicating the amount of motion of the relevant part of the subject, and as described above, are data such as the movement speed, movement distance, swing, and angular velocity of the relevant part. The relevant part is a part of the human body such as a joint that is a characteristic point for identifying the posture of the subject. In this embodiment, as an example, the left motion information sequence and the right motion information sequence store the movement amount (movement speed) of the subject's left hand and right hand per unit time.

[0031] The subject ID includes identification information for identifying the subject of the motion information, and stores, for example, the subject ID. The subject ID is identified by extracting facial features of the subject from an image captured for motion information detection and performing pattern matching with facial features of subjects registered in advance. The subject ID may also be identified using other techniques such as machine learning.

[0032] The movement pattern is a type of movement that the subject may perform daily, and may include, for example, sleeping, eating, brushing teeth, watching television, cooking, walking, etc. The movement pattern is identified, for example, by performing pattern matching of the subject's position, posture, or amount of movement in a room. The movement pattern may also be identified using other techniques such as machine learning.

[0033] The reference motion information DB113 is a database that stores reference motion information indicating motions of a subject in a normal state. When determining the possibility of cerebral infarction of a subject, the information processing device 1 acquires reference motion information obtained by collecting motion information of the subject over a predetermined period and stores the reference motion information in the reference motion information DB113. The information processing device 1 compares the reference motion information with motion information acquired in real time to determine the presence or absence of an abnormal state. For example, as shown in FIG. 3C, the reference motion information DB113 stores information such as a subject ID, a motion pattern, reference motion information, a reference period, and update date and time in association with each other.

[0034] The motion pattern includes information for identifying the motion pattern, and for example, names indicating motion patterns such as sleeping, eating, brushing teeth, watching television, cooking, walking, etc. are stored.

[0035] The reference motion information includes motion information of a reference state of the subject obtained by analyzing motion information for a predetermined period of time. The reference motion information may include left reference motion information indicating motion of the left half of the body and right reference motion information indicating motion of the right half of the body. The left reference motion information and the right reference motion information are each obtained, for example, by collecting motion information including left motion information and right motion information for the same motion pattern of the subject during a predetermined period of time and calculating a range and an average value. The reference motion information may include multiple pieces of motion information associated with information related to time.

[0036] The reference period includes a period for collecting motion information for deriving the reference motion information. The reference period is, for example, seven days. The update date and time includes the latest information on the date and time when the reference motion information is updated. In this embodiment, the reference motion information is updated at any time based on motion information detected in real time. By using the reference motion information generated based on the most recent motion state of the subject, it is possible to make a judgment according to the condition of each subject, including, for example, temporary injury or changes due to aging. Note that the stored contents of the subject information DB111, the detection value DB112, and the reference motion information DB113 are not limited to the examples shown in Figs. 3A to 3C.

[0037] 4 is a block diagram showing the configuration of the detection device 2. The detection device 2 includes a control unit 20, a storage unit 21, a communication unit 22, and a motion information detection unit .

[0038] The control unit 20 is a processor using one or more CPUs, GPUs, etc., and controls each component unit using built-in memory such as ROM or RAM to execute processing. The storage unit 21 includes a non-volatile memory such as a flash memory. The storage unit 21 stores information referenced by the control unit 20. The communication unit 22 is a communication interface that realizes communication with the information processing device 1 via the network N.

[0039] The motion information detector 23 obtains a detection signal using the motion detection sensor 2a. The motion information detector 23 may include an A / D conversion function and output a measurement value obtained from the motion detection sensor 2a to the control unit 20.

[0040] 5 is a block diagram showing the configuration of the terminal device 3. The terminal device 3 is, for example, a smartphone, a tablet terminal, or the like. The terminal device 3 may be an information terminal device such as a personal computer. The terminal device 3 includes a control unit 30, a storage unit 31, a communication unit 32, a display unit 33, and an operation unit 34.

[0041] The control unit 30 includes a processor such as a CPU or a GPU, a memory, etc. The control unit 30 may be configured as a single piece of hardware (SoC: System On a Chip) that integrates the processor, the memory, the storage unit 31, and the communication unit 32. The control unit 30 controls each component to execute processing based on a program stored in the storage unit 31.

[0042] The storage unit 31 includes a non-volatile memory such as a flash memory. The storage unit 31 stores programs and data referenced by the control unit 30. The communication unit 32 is a communication interface that realizes communication with the information processing device 1 via the network N.

[0043] The display unit 33 includes a display device such as a liquid crystal panel, an organic EL (Electro Luminescence) display, etc. The display unit 33 displays various information according to instructions from the control unit 30. The operation unit 34 is an interface that accepts user operations, and includes, for example, physical buttons, a mouse, a touch panel device built into a display, a speaker, a microphone, etc. The operation unit 34 accepts operation input from the user and sends a control signal to the control unit 30 according to the operation content.

[0044] Fig. 6 is a flowchart showing an example of a processing procedure for acquiring reference motion information. The processing in Fig. 6 is executed by the control unit 10 of the information processing device 1 and the control unit 20 of the detection device 2. The processing is executed at the timing when a signal is detected by the motion detection sensor 2a, for example.

[0045] The control unit 20 of the detection device 2 acquires an image of the subject from the motion detection sensor 2a in real time or at a predetermined detection interval (e.g., every minute) (step S10). The control unit 20 detects feature points corresponding to relevant parts of the subject from the acquired image (step S11). For example, the control unit 20 detects the right hand and left hand of the subject as feature points.

[0046] The control unit 20 acquires motion information including right motion information and left motion information based on the detection results of feature points in each image acquired in time series (step S12). Specifically, the control unit 20 compares the image data acquired in time series and calculates the amount of motion of the corresponding parts of the right and left halves of the body included in the images at the previous time and the current time. For example, the detection device 2 compares the coordinates of the left and right hands in the previous frame with the coordinates of the left and right hands in the current frame, respectively, and acquires the moving speed calculated from the moving distance and the detection time as motion information.

[0047] The control unit 20 also identifies the movement pattern of the subject and the subject (step S13). For example, the control unit 20 detects each part of the subject, such as the hands, feet, head, etc., as feature points in step S11, and identifies the movement pattern by performing pattern matching of the position, posture, and movement (gesture) of the subject in the room from the coordinate values ​​of each detected feature point. The control unit 20 also associates and stores (registers) the subject ID and the facial feature amount of the subject in advance, extracts the facial feature amount in step S10, and identifies the subject ID by performing pattern matching with the stored facial feature amount. The control unit 20 outputs the movement information to the information processing device 1 in association with the identified movement pattern, subject ID, detection date and time, sensor ID, detection value, etc. (step S14).

[0048] The control unit 10 of the information processing device 1 acquires the motion information through the communication unit 12 (step S15). The control unit 10 associates the acquired motion information with a subject ID, a motion pattern, and the like, and stores the information in the detection value DB 112 (step S16).

[0049] The control unit 10 derives reference motion information indicating the subject's normal motion based on the collected motion information (step S17). Specifically, the control unit 10 refers to the detection value DB 112 to acquire motion information of the same subject detected within a predetermined period (e.g., 7 days) and stored in the detection value DB 112. In this case, the control unit 10 may extract motion information including the same motion pattern in order to derive reference motion information for each motion pattern. For example, when deriving basic motion information for the motion pattern "eating", the control unit 10 extracts motion information including the detection date and time including the most recent one week from the derivation time point, the same subject ID, and the same motion pattern "eating". The control unit 10 derives reference motion information including left reference motion information indicating the reference motion of the left half of the body and right reference motion information indicating the reference motion of the right half of the body by calculating the average value based on the left motion information and right motion information of the extracted motion information.

[0050] Furthermore, the control unit 10 compares the derived reference action information with pre-recorded reference action information to determine whether or not to correct the reference action information (step S18). Specifically, the control unit 10 determines whether a difference between the derived reference action information and the recorded reference action information is larger than a preset threshold, and determines whether the difference is equal to or larger than the threshold. If it is determined that the reference action information is not to be corrected because the difference is less than the threshold (step S18: NO), the control unit 10 skips the correction process of the reference action information.

[0051] When it is determined that the reference action information should be corrected because the difference value is equal to or greater than the threshold value (step S18: YES), the control unit 10 executes a correction to change the recorded reference action information to the newly derived reference action information (step S19). The control unit 10 may correct the value of the recorded reference state information based on a predetermined rule. The control unit 10 stores the corrected reference action information, information such as the update date and time, in the reference action information DB 113 (step S20), and ends the series of processes.

[0052] In the above process, the control unit 10 may execute the process of step S17 and thereafter when the feature quantity indicating the movement pattern included in the acquired movement information is equal to or greater than a predetermined value according to the analysis result of step S15. That is, the control unit 10 may execute the process of deriving reference movement information when the acquired movement information corresponds to a preset movement pattern.

[0053] In the above-mentioned process, an example in which a series of processes are shared and executed by the control unit 10 of the information processing device 1 and the control unit 20 of the detection device 2 has been described, but the sharing of the processes between the control unit 10 and the control unit 20 is merely an example and is not limited to the example of FIG. 6. That is, the detection device 2 may substantially include the information processing device 1. Alternatively, the control unit 20 of the detection device 2 may only output the detection value detected by the motion detection sensor 2a, and the control unit 10 of the information processing device 1 may perform subsequent processes. Alternatively, the control unit 10 of the information processing device 1 and the control unit 20 of the detection device 2 may cooperate to execute a series of processes, for example, by performing inter-process communication.

[0054] Using the reference motion information acquired as described above, the information processing device 1 judges whether or not there is a possibility of cerebral infarction from the motion information of the subject. Fig. 7 is a flowchart showing an example of an abnormal state judgment processing procedure. The processing in Fig. 7 is executed by the control unit 10 of the information processing device 1 and the control unit 30 of the terminal device 3. The timing of execution of the processing is, for example, the timing when new motion information is stored in the detection value DB 112.

[0055] The control unit 10 of the information processing device 1 refers to the detection value DB 112 and acquires new motion information acquired and stored from the detection device 2 in real time (step S21). The motion information is associated with a subject ID, a motion pattern, etc. The control unit 10 acquires reference motion information to be compared with the acquired motion information (step S22). The control unit 10 refers to the reference motion information DB 113 and acquires reference motion information including the same subject ID and motion pattern as the acquired motion information.

[0056] The control unit 10 compares the acquired motion information with the reference motion information and judges whether or not the subject may have a cerebral infarction, that is, whether the motion information of the subject is in an abnormal state (step S23). The control unit 10 analyzes the left motion information of the left half of the body and the right motion information of the right half of the body, and judges that the subject is in an abnormal state that may be a cerebral infarction when a motion different from normal is detected only in either the left half of the body or the right half of the body of the subject by analyzing the left motion information of the left half of the body and the right motion information of the right half of the body.

[0057] Specifically, the control unit 10 compares the acquired left motion information with the left reference motion information of the reference motion information, and also compares the acquired right motion information with the right reference motion information of the reference motion information, and determines whether the difference between the motion information and the reference motion information for each of the left and right halves of the body is equal to or greater than a threshold. FIG. 8 is an explanatory diagram regarding the abnormal state determination process. In FIG. 8, the upper part of the figure conceptually illustrates the time series changes in the reference motion information for each of the left and right halves of the body (e.g., the moving speeds of the left and right hands), and the lower part conceptually illustrates the time series changes in which the current motion information for each of the left and right halves of the body is added. In each graph in FIG. 8, the vertical axis represents motion information, and the horizontal axis represents time.

[0058] As described above, the control unit 10 derives reference motion information for each of the left and right halves of the body from the motion information collected during a predetermined period, and stores it in the reference motion information DB 113. When the control unit 10 acquires motion information from the detection device 2, it compares the motion information for each of the left and right halves of the body with the reference motion information, and calculates a difference value from the reference motion information for each of the left and right halves of the body. That is, the control unit 10 calculates the difference between the right reference motion information shown by the solid line in Fig. 8 and the current right motion information shown by the thick line. Similarly, the control unit 10 calculates the difference between the left reference motion information and the current left motion information.

[0059] The control unit 10 compares the calculated difference values ​​of the left and right halves of the body with a predetermined threshold value, and judges whether or not there is an abnormality in the left and right halves of the body. Specifically, if the difference value is equal to or greater than the threshold value, it is judged that there is an abnormality. For example, the control unit 10 may compare the instantaneous value difference at a certain time with the threshold value to make the judgment, or may compare the integral value or average value of the difference over a certain unit time (e.g., 5 minutes) with the threshold value to make the judgment. Based on the judgment results of the left and right halves of the body, the control unit 10 finally judges whether or not the subject is in an abnormal state that may be a cerebral infarction. Specifically, if the control unit 10 judges that one half of the body has an abnormality and the other half does not have an abnormality, it judges that there is an abnormal state. If the control unit 10 judges that there is no abnormality in both halves of the body, it judges that there is no abnormal state. The control unit 10 also judges that there is no abnormal state even if it judges that there is an abnormality in both halves of the body. For example, when there is a difference between the reference motion information and the motion information for both the left and right sides, it is determined that there is a low possibility of cerebral infarction since there is no abnormality on only one side.

[0060] Returning to Fig. 7, the description will be continued. If it is determined that the abnormal state is not present (step S23: NO), the control unit 10 returns the process to step S21 and continues acquiring the operation information. If it is determined that the abnormal state is present (step S23: YES), the control unit 10 determines whether the abnormal state is a false abnormal state (step S24).

[0061] Here, the pseudo-abnormal state is a state in which a certain change occurs temporarily in the movement of the left or right half of the body due to factors other than cerebral infarction, and is a state in which the possibility of cerebral infarction is low, unlike an abnormal state. Examples of factors that cause a pseudo-abnormal state include temporary and partial blood flow and numbness due to nerve compression when sleeping for a long time with either the left or right half of the body on one side, and muscle pain on only one side due to exercise, etc. From subjects in these pseudo-abnormal states, movement information with a difference between the left and right sides may be detected, as in the abnormal state.

[0062] The control unit 10 stores a false abnormal state information DB (not shown) that stores false abnormal state information that defines the operation information in a false abnormal state in advance. The false abnormal state information DB stores operation information and other conditions that define the false abnormal state shown in a predetermined operation. The control unit 10 compares the operation information in the false abnormal state information DB with the acquired operation information of the subject to determine whether the abnormal state of the subject is a false abnormal state. For example, if the time during sleep in which one side of the body is down is a predetermined value or more, and the difference between the left and right difference values ​​between the left operation information or the right operation information and the reference operation information is less than a predetermined value, the information corresponds to the false abnormal state information. The control unit 10 may determine whether the state is a false abnormal state using other machine learning techniques. The control unit 10 may create a learning model in advance that outputs a discrimination result of whether the state is a false abnormal state or not when operation information is input, store it in the storage unit 11, and determine whether the state is a false abnormal state or not using this learning model.

[0063] If the subject's motion information corresponds to false abnormal state information and therefore the abnormal state is determined to be a false abnormal state, i.e., the possibility of cerebral infarction is low (step S24: YES), the control unit 10 returns the process to step S21 and continues acquiring the motion information.

[0064] When it is determined that the abnormal state is not a false abnormal state, that is, there is a high possibility of cerebral infarction, because the motion information of the subject does not correspond to the false abnormal state information (step S24: NO), the control unit 10 outputs notification information notifying the occurrence of the abnormal state to the terminal device 3 via the communication unit 12 (step S25). The control unit 10 refers to the subject information DB 111 to specify a notification destination when the subject is in an abnormal state, and outputs the notification information to the specified notification destination using, for example, an email function or the like.

[0065] The control unit 30 of the terminal device 3 acquires notification information notifying the occurrence of an abnormal state through the communication unit 32 (step S26). The control unit 30 displays a notification screen 330 including information indicating the occurrence of an abnormal state on the display unit 33 based on the acquired notification information (step S27), and ends the series of processes. Note that the control unit 10 may perform a loop process of performing step S21 after the process of step S25.

[0066] FIG. 9 is a diagram showing an example of a notification screen 330 displayed on the display unit 33. The control unit 30 displays notification screen information based on the notification information acquired from the information processing device 1 on the display unit 33. The notification screen 330 includes a notification regarding the operation information determined to be in an abnormal state. The notification screen 330 may further include a notification for prompting confirmation of the determination of the operation information determined to be in an abnormal state. In the example shown in FIG. 9, the notification screen 330 includes information indicating the detection date and time of the operation information, the detection location, etc., and further includes an operation graph 331 indicating the detected operation information, a confirmation button 334 for prompting confirmation of the screen contents, etc. The notification screen 330 may further include a message notifying the subject of support information (for example, contents encouraging the subject to visit a medical institution) according to the determination result, etc.

[0067] In the example shown in FIG. 9, the notification screen 330 shows a time-based change in the motion information of the half of the body where an abnormality is detected (for example, the moving speed of the right hand) in a motion graph 331 with motion information as the vertical axis and time as the horizontal axis. The motion graph 331 includes a reference value curve 332 showing the reference motion information of the subject and a detection value curve 333 showing the motion information related to the detected abnormal state. The control unit 10 of the information processing device 1 refers to the reference motion information stored in the reference motion information DB 113 and the motion information stored in the detection value DB 112, generates the reference value curve 332 and the detection value curve 333 associated with time information, and displays them on the motion graph 331. The control unit 10 also refers to the detection value DB 112, acquires the detection date and time, the detection location, etc. of the motion information related to the abnormal state, generates text information showing the acquired detection date and time, the detection location, etc., and displays it on the notification screen 330. The control unit 10 may further read out the detection values ​​of the motion detection sensor 2a related to the abnormal state from the detection value DB 112, and display the read out detection values ​​on the notification screen 330 together with the motion graph 331. By displaying the detection values ​​acquired from, for example, image data in association with the motion information in addition to the motion information in the abnormal state, the actual motion of the subject can be recognized in more detail.

[0068] The subject can recognize the occurrence of an abnormal condition from the notification screen 330 displayed on the display unit 33. This allows the subject to be notified of the possibility of cerebral infarction even if the subject himself is not aware of it, which can encourage the subject to undergo early examination, etc., and assist in the detection of cerebral infarction. After checking the notification screen, the subject clicks the confirmation button 334. When the control unit 30 of the terminal device 3 receives the operation of pressing the confirmation button 334, it transmits operation information to the information processing device 1. The control unit 10 of the information processing device 1 acquires the operation information. If the operation information is not acquired for a predetermined period of time, the control unit 30 may output the notification information to the terminal device 3 again. This allows the subject to be reliably notified of the information.

[0069] In the above, the difference value is determined for each of the left and right halves of the body, but the present embodiment is not limited to this. Specifically, the control unit 10 may determine whether or not an abnormal state exists based on the difference value between the left motion information and the right motion information.

[0070] In this case, the control unit 10 calculates a difference value between the left motion information and the right motion information at each time from the left motion information and the right motion information for a predetermined period, and derives a difference value between the left motion information and the right motion information that serves as reference motion information by, for example, averaging the difference values ​​over that period. When the control unit 10 acquires motion information from the detection device 2, it calculates a difference value between the left motion information and the right motion information. The control unit 10 compares the calculated difference value with the difference value indicated by the reference motion information, and calculates a difference value between the two (for convenience, referred to as a "second difference value").

[0071] The control unit 10 compares the calculated second difference value with a threshold value, and determines that an abnormal state exists when the second difference value is equal to or greater than the threshold value. In this manner, the control unit 10 may compare the left-right difference in the motion information in the reference state (the difference value that is the reference motion information) with the left-right difference in the current motion information to determine whether or not an abnormal state exists.

[0072] In the above, an example has been described in which the abnormal state determination process and the pseudo-abnormal state determination process are executed as different processes, but these determination processes may be executed as one process. That is, step S23 includes the process of step S24, and the control unit 10 may determine whether or not the state is abnormal by the process of determining whether or not the state is pseudo-abnormal. For example, the control unit 10 may determine that the subject is unlikely to have cerebral infarction, i.e., is not in an abnormal state, by determining that the subject is in a pseudo-abnormal state based on the operation information.

[0073] In addition, in the above-mentioned abnormal state determination, when multiple types of motion information are detected by multiple motion detection sensors 2a, the information processing device 1 may determine whether or not each of the multiple types of motion information is in an abnormal state. For example, by determining whether or not each of the motion information derived from image data by a camera and the motion information derived from gaze data by a gaze sensor is in an abnormal state, the determination accuracy can be further improved.

[0074] In addition, the threshold value used in the above-mentioned determination of the abnormal state may be defined as different threshold values ​​depending on the detection location of the motion information, or the threshold value may be corrected depending on the detection location. For example, even with the same motion pattern, the intensity of the motion, the range of motion, etc. may change depending on the location where the motion is performed, so it is preferable to compare the motion information with the reference motion information using a threshold value according to the detection location of the motion information. In addition, for example, when the room temperature around the subject is detected by a temperature sensor or the like provided in the motion detection sensor 2a, the threshold value may be corrected based on the change in room temperature on the subject's movement path. When a temperature change of a predetermined value or more is detected around the subject, the motion content may change even with the same motion pattern. The control unit 10 acquires the temperature change, compares it with the reference motion information using a threshold value derived using a different correction value depending on the acquired temperature change, and determines whether or not there is an abnormal state.

[0075] The information processing device 1 outputs a further notification if the abnormal state continues. Fig. 10 is a flowchart showing an example of a processing procedure related to warning information. The processing in Fig. 10 is executed by the control unit 10 of the information processing device 1 and the control unit 30 of the terminal device 3. If it is determined in step S24 of Fig. 7 that the subject is in an abnormal state, the following processing is executed in parallel with the processing in Fig. 7.

[0076] The control unit 10 determines whether the abnormal state continues for a predetermined time (step S31). The control unit 10 refers to the detection value DB 112 to identify the time when the first operation information related to the abnormal state was detected. The control unit 10 determines whether the elapsed time from the time when the first operation information was detected is larger than a preset threshold value (e.g., 20 minutes), and determines whether the elapsed time is equal to or larger than the threshold value.

[0077] When it is determined that the abnormal state has not continued for a predetermined time because the elapsed time is less than the threshold value (step S31: NO), the control unit 10 ends the process. In this case, the control unit 10 may output information notifying the end of the abnormal state to the terminal device 3 via the communication unit 12.

[0078] When it is determined that the abnormal state continues for a predetermined time because the elapsed time is equal to or greater than the threshold (step S31: YES), the control unit 10 outputs warning information notifying the continuation of the abnormal state to the terminal device 3 via the communication unit 12 (step S32). The output destination of the warning information is the terminal device 3 of the subject, similar to the output destination of the notification information.

[0079] The control unit 30 of the terminal device 3 acquires the warning information through the communication unit 32 (step S33). Based on the acquired warning information, the control unit 30 displays the warning information and a warning screen 340 that accepts an emergency call operation in response to the warning information on the display unit 33 (step S34).

[0080] FIG. 11 is a diagram showing an example of a warning screen 340 displayed on the display unit 33. The control unit 30 displays warning screen information based on warning information acquired from the information processing device 1 on the display unit 33. The warning screen 340 includes warning information indicating the occurrence and contents of a warning state, and further includes a report unnecessary button 341 for accepting a selection that an emergency report is unnecessary for the warning information, and a report necessary button 342 for accepting a selection that an emergency report is necessary. An emergency report is a report to a person other than the subject that there is a high possibility of cerebral infarction when the abnormal state of the subject continues. An emergency report is a report to, for example, the subject's family, a fire department, a medical institution, etc., to assist in a request for support for the subject in an emergency state. The subject operates a button on the warning screen 340 displayed on the display unit 33 to select whether or not to make an emergency report. The control unit 30 accepts the button operation and executes a process according to the accepted operation content.

[0081] Returning to FIG. 10, the description will be continued. The control unit 30 judges whether or not an emergency call is necessary (step S35). When the control unit 30 judges that an emergency call is not necessary by receiving a selection operation of the report unnecessary button 341 via the operation unit 34 (step S35: NO), the control unit 30 ends the process. On the other hand, when the control unit 30 judges that an emergency call is necessary by receiving a selection operation of the report necessary button 342 via the operation unit 34 (step S35: YES), the control unit 30 outputs emergency call information indicating that an emergency call is necessary to the information processing device 1 via the communication unit 32 (step S36). The control unit 30 may judge that an emergency call is necessary by the fact that a predetermined time has elapsed without receiving a selection operation of both the report unnecessary button 341 and the report necessary button 342.

[0082] The control unit 10 of the information processing device 1 judges whether or not an emergency call is necessary in response to the warning information (step S37). When it is judged that an emergency call is necessary by acquiring emergency call information from the terminal device 3 (step S37: YES), the control unit 10 outputs emergency information notifying the abnormal state of the target person to the outside via the communication unit 32 (step S38). The control unit 10 may identify an emergency call destination in an emergency by referring to the target person information DB 111, and may make a call to the emergency call destination, for example, using a call function. When it is judged that an emergency call is not necessary because emergency call information has not been acquired from the terminal device 3 (step S37: NO), the control unit 10 skips the emergency call process of step S38 and ends the series of processes.

[0083] In the above process, it is preferable that the information processing device 1 changes the acquisition interval of the motion information according to the state of the subject. For example, in step S24 of Fig. 7, when it is determined that an abnormal state exists, the control unit 10 outputs an instruction to change the detection interval to the detection device 2. For example, by changing the acquisition interval of the motion information, which is normally set to every minute, to every 10 seconds after the occurrence of the abnormal state, it becomes possible to identify the state of the subject in more detail.

[0084] In this embodiment, in the processes described in the flowcharts of Figures 7 and 10 above, some or all of the processes executed by the control unit 10 of the information processing device 1 may be executed by the control unit 30 of the terminal device 3, or may be executed by the control unit 20 of the detection device 2.

[0085] In this embodiment, the terminal device 3 may substantially include the information processing device 1 and directly communicate with the detection device 2. Alternatively, the terminal device 3 may be configured to substantially include the information processing device 1 and the detection device 2, and each of the above-mentioned processes may be executed by a single terminal device 3 having these functions.

[0086] According to this embodiment, the possibility of cerebral infarction can be determined based on the motion information related to the subject's daily motion, particularly the motions that are repeatedly performed daily. When an abnormal state that may be cerebral infarction is detected, the subject is promptly notified, thereby assisting in early detection of cerebral infarction. Whether or not there is an abnormal state can be accurately determined by using reference motion information and false abnormal state information according to each individual subject.

[0087] Second embodiment In the second embodiment, biological information of a subject is acquired, and the possibility of cerebral infarction of the subject is judged based on the motion information and biological information. The following describes the second embodiment and the differences from the first embodiment. Since the configuration other than the configuration described below is the same as that of the information processing system 100 of the first embodiment, the common configuration is denoted by the same reference numerals and detailed description thereof is omitted.

[0088] 1, the detection device 2 of the second embodiment includes a motion detection sensor 2a and a biological information detection sensor 2b. The biological information detection sensor 2b is a detection device that detects biological information of a subject. The detection device 2 transmits the motion information detected by the motion detection sensor 2a and the biological information detected by the biological information detection sensor 2b to the information processing device 1.

[0089] The biological information detection sensor 2b is, for example, an infrared camera that detects the blood flow and surface temperature of the subject. The biological information detection sensor 2b may detect the body pressure of the subject using a surface pressure sensor provided on a mat such as bedding or a seat used by the subject. When the detection device 2 is a wearable device, the biological information detection sensor 2b may detect the pulse wave, body temperature, etc. of the subject using a pulse wave sensor, a temperature sensor, etc. The detection device 2 may be configured by combining multiple types of motion detection sensors 2a and biological information detection sensors 2b.

[0090] 12 is a block diagram showing the configuration of the detection device 2 in the second embodiment. The detection device 2 includes a control unit 20, a storage unit 21, a communication unit 22, a motion information detection unit 23, and a biological information detection unit 24. The biological information detection unit 24 acquires a detection signal using the biological information detection sensor 2b. The biological information detection unit 24 may include an A / D conversion function and output a measurement value obtained from the biological information detection sensor 2b to the control unit 20.

[0091] In the second embodiment, the control unit 10 of the information processing device 1 stores detection values ​​including the motion information and biological information acquired from the detection device 2 in the detection value DB 112. The information processing device 1 determines the possibility of cerebral infarction of the subject based on the motion information and biological information. FIG. 13 is a flowchart showing an example of an abnormal state determination processing procedure in the second embodiment. The same step numbers are assigned to the processes common to FIG. 7 of the first embodiment, and detailed descriptions thereof will be omitted.

[0092] The control unit 10 of the information processing device 1 refers to the detection value DB 112 and acquires in real time new motion information and biological information acquired and stored by the detection device 2 (step S41). The motion information is associated with a subject ID, a motion pattern, etc. The control unit 10 acquires reference motion information to be compared with the acquired motion information (step S22). The control unit 10 refers to the reference motion information DB 113 and acquires reference motion information including the same subject ID and motion pattern as the acquired motion information.

[0093] The control unit 10 compares the acquired motion information with the reference motion information and judges whether or not the subject has a possibility of cerebral infarction, that is, whether or not the motion information of the subject is in an abnormal state (step S23). If it is judged that the subject is not in an abnormal state (step S23: NO), the control unit 10 returns the process to step S41 and continues acquiring the motion information and biological information. If it is judged that the subject is in an abnormal state (step S23: YES), the control unit 10 judges whether or not the abnormal state is a false abnormal state (step S44).

[0094] The control unit 10 compares prestored pseudo-abnormal state information related to a pseudo-abnormal state with the motion information of the subject to determine whether the abnormal state of the subject is a pseudo-abnormal state. The control unit 10 of the second embodiment determines whether the abnormal state of the subject is a pseudo-abnormal state based on the motion information and the biological information. That is, the pseudo-abnormal state information is defined to include the motion information and the biological information. For example, when the change value of the blood flow rate of the subject, the body temperature, the change value of the shape of the left and right halves of the body, etc. are predetermined values, it corresponds to the pseudo-abnormal state information.

[0095] When the control unit 10 determines that the abnormal state is a false abnormal state because the motion information of the subject corresponds to the false abnormal state information (step S44: YES), the control unit 10 returns the process to step S41 and continues acquiring the motion information. When the control unit 10 determines that the abnormal state is not a false abnormal state because the motion information of the subject does not correspond to the false abnormal state information (step S44: NO), the control unit 10 outputs notification information notifying the occurrence of the abnormal state to the terminal device 3 via the communication unit 12 (step S25).

[0096] The control unit 30 of the terminal device 3 acquires notification information notifying the occurrence of an abnormal state through the communication unit 32 (step S26). The control unit 30 displays a notification screen including information indicating the occurrence of an abnormal state on the display unit 33 based on the acquired notification information (step S27), and ends the series of processes. Note that the control unit 10 may perform a loop process of performing step S21 after the process of step S25.

[0097] According to this embodiment, even in cases where it is difficult to determine whether a state is abnormal or pseudo-abnormal based on operational information alone, an appropriate determination result can be provided by determining the possibility of cerebral infarction based on operational information and biological information.

[0098] Third embodiment In the third embodiment, information processing is realized by specializing it to motion information, which is voice data. The following describes the third embodiment in terms of differences from the first embodiment. Since the configuration other than the configuration described below is the same as that of the information processing system 100 of the first embodiment, the common configuration is denoted by the same reference numerals and detailed description thereof is omitted.

[0099] The detection device 2 of the third embodiment includes a sound sensor that detects the speech of the target person as the motion detection sensor 2a. The motion detection sensor 2a may further include a camera or the like that detects the facial motion of the target person.

[0100] The information processing device 1 determines the possibility of cerebral infarction based on the motion information, which is the voice data acquired from the detection device 2. In the third embodiment, the reference motion information in the reference motion information DB 113 stores voice data relating to a plurality of reference patterns of words. The information processing device 1 compares the voice data of the subject under normal circumstances with the voice data detected in real time to determine the possibility of cerebral infarction.

[0101] The control unit 10 analyzes the voice data detected by the sound sensor and extracts a preset word pattern from the spoken voice. The control unit 10 determines whether a difference between the voice data corresponding to the extracted word pattern and the voice data that is the reference motion information is greater than or equal to a preset threshold, and determines whether or not the difference is greater than or equal to the threshold, thereby determining whether or not the abnormal state is one that may be a cerebral infarction.

[0102] The control unit 10 may further acquire image data showing the speech behavior of the face of the subject captured by the camera. For example, using a pattern matching technique or other known techniques, the control unit 10 performs image analysis of the motion information, which is the acquired image data, and determines whether it matches a pre-set speech pattern. If it is determined that it matches the speech pattern, the control unit 10 executes the above-mentioned voice data analysis process and determines whether it is an abnormal state.

[0103] According to this embodiment, even in cases where it is difficult to judge from the difference between the left and right sides of the body movements, the possibility of cerebral infarction can be judged based on a large amount of voice information generated on a daily basis.

[0104] The embodiments disclosed herein are illustrative in all respects and are not restrictive. The scope of the present invention is defined by the claims, and includes all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0105] 1. Information processing device 2. Detection device 2a Motion detection sensor 2b Biometric information detection sensor 3 Terminal Equipment 10, 20, 30 Control section 11,21,31 Storage section 111 Target DB 112 Test Value DB 113 Standard operation information DB 1P Program

Claims

1. Acquire motion information detected by a motion detection device that detects a motion of the subject; The acquired operation information is stored in a storage unit. Derive reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time; Based on the derived reference motion information and motion information of the left half body and the right half body of the subject at a detection time point after the predetermined period, it is determined whether or not the subject is in an abnormal state that may be a cause of cerebral infarction; When it is determined that the subject is in the abnormal state, it is determined based on the motion information whether or not the subject is in a pseudo-abnormal state in which a predetermined change has occurred in the left or right half of the body of the subject due to a factor other than cerebral infarction. An information processing method for causing a computer to execute processing.

2. Acquire motion information detected by a motion detection device that detects the motion of a subject, The acquired operation information is stored in a storage unit. Derive reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time; Based on the derived reference motion information and motion information of the left half body and the right half body of the subject at a detection time point after the predetermined period, it is determined whether or not the subject is in an abnormal state that may be a cause of cerebral infarction; A biological information detection device detects biological information of the subject, and acquires the detected biological information; When it is determined that the subject is in the abnormal state, it is determined based on the biological information whether or not the subject is in a pseudo-abnormal state in which a predetermined change has occurred in the left or right half of the body of the subject due to a factor other than cerebral infarction. An information processing method for causing a computer to execute processing.

3. Acquire motion information detected by a motion detection device that detects the motion of a subject, The acquired operation information is stored in a storage unit. Derive reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time; Based on the derived reference motion information and motion information of the left half body and the right half body of the subject at a detection time point after the predetermined period, it is determined whether or not the subject is in an abnormal state that may be a cause of cerebral infarction; The movement information includes first movement information detecting a movement of a left half body of the subject and second movement information detecting a movement of a right half body of the subject, A difference value between the first motion information and the second motion information of the reference motion information is compared with a difference value between the first motion information and the second motion information at the detection time to determine whether or not the abnormal state exists. An information processing method for causing a computer to execute processing.

4. Acquiring motion information detected by a motion detection device that detects the motion of a subject, The acquired operation information is stored in a storage unit; Derive reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time; Based on the derived reference motion information and motion information of the left half body and the right half body of the subject at a detection time point after the predetermined period, it is determined whether or not the subject is in an abnormal state that may be a cause of cerebral infarction; The movement information includes first movement information detecting a movement of a left half body of the subject and second movement information detecting a movement of a right half body of the subject, The first motion information of the reference motion information and the first motion information at the detection time point are compared with the second motion information of the reference motion information and the second motion information at the detection time point, respectively, to determine whether or not the abnormal state exists. An information processing method for causing a computer to execute processing.

5. Acquiring motion information detected by a motion detection device that detects the motion of a subject, The acquired operation information is stored in a storage unit; Derive reference motion information for the left and right halves of the subject based on the stored motion information for a predetermined period of time; Based on the derived reference motion information and motion information of the left half body and the right half body of the subject at a detection time point after the predetermined period, it is determined whether or not the subject is in an abnormal state that may be a cause of cerebral infarction; The reference motion information is compared with the motion information at the time of detection using different threshold values ​​depending on the location where the motion information is detected. An information processing method for causing a computer to execute processing.

6. If it is determined that the abnormal state exists, a notification is output. The information processing method according to any one of claims 1 to 5, wherein the processing is executed by a computer.

7. Determine whether the abnormal condition continues for a predetermined period of time. The information processing method according to any one of claims 1 to 6, wherein the processing is executed by a computer.

8. The motion detection device includes a plurality of types of detection devices, and obtains a plurality of pieces of motion information of the subject. The information processing method according to any one of claims 1 to 7.

9. A computer program that causes a computer to execute an information processing method described in any one of claims 1 to 5.

10. A control unit is provided, The control unit executes the information processing method according to any one of claims 1 to 5. Information processing device.

11. A motion detection device that detects a motion of a subject, and an information processing device that acquires motion information from the motion detection device, The information processing device includes: A control unit is provided, The control unit executes the information processing method according to any one of claims 1 to 5. Information processing system.

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