Nursing care state determination device, nursing care state determination method, and program

Abstract

To provide a nursing care state determination device contributing to reduction of a falling risk of a care-receiver.SOLUTION: A nursing care state determination device 1 for determining a nursing care state of a person to be cared for includes a moving image acquisition unit 10 that acquires a moving image obtained by photographing a determination target person, a moving image analysis unit 20 that determines whether or not the acquired moving image is a target moving image obtained by photographing a standing-up motion of the determination target person from a side direction, a determination unit 30 that determines a falling risk of the determination target person based on the target moving image, and a determination result output unit 40 that outputs a determination result of the falling risk. The video analysis unit 20 includes the coordinate providing unit 21 that provides the target video with the coordinate information regarding the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus of the determination target person, and the determination unit 30 includes the movement amount measurement unit 31 that measures the movement amount of the body part from the coordinate information and the angle measurement unit 33 that measures the head inclination angle and the knee joint angle and determines the risk of falling on the basis of the measured movement amount and angle.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a device for determining a care condition, and more particularly to a device for determining a care condition based on a standing-up movement of a care recipient. [Background technology]

[0002] If a person needs constant care, or if they need assistance in daily life, they can receive nursing care services under the nursing care insurance system. The classification of the person's nursing care status is determined based on the doctor's opinion and a home visit by a certified investigator, and caregivers who provide nursing care services provide care according to the care status of the person receiving care.

[0003] The care needs of care recipients are not constant, so in order to provide appropriate care at any given time, it is necessary to make regular visits to check on their health, etc. Experienced caregivers can ascertain the health status of care recipients just by observing them, but there are still few such caregivers, and while the number of care recipients is increasing, there is also a labor shortage in the nursing care industry, so the burden tends to be concentrated on experienced caregivers.

[0004] For this reason, it has become common to evaluate the health condition, etc., of care recipients using video footage of the care recipients, and video processing devices have been proposed that can efficiently support the evaluation of specific movements of the person being evaluated (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2023-1531 Summary of the Invention [Problem to be solved by the invention]

[0006] Providing appropriate care to care recipients is an important issue for both those receiving care and the care industry. For those receiving care, not only should care services provided that are insufficient for the care they require be avoided, but excessive care services should also be avoided. This is because providing care services to care recipients who are able to act on their own can restrict their own activities, which can result in the accelerated deterioration of their health. For the care industry, providing excessive care services also wastes personnel resources.

[0007] It is said that the more a person can do for themselves, the higher their quality of life (QOL), and it is important to maintain this state of being able to do things for themselves for as long as possible. Falls are a factor that can rapidly worsen this state. It is no exaggeration to say that reducing the risk of falls brings benefits to both the care recipient and the care industry.

[0008] However, the above-mentioned patent documents and the like have a problem in that they are unable to reduce the risk of falling, because in order to reduce the risk of falling, it is necessary to assess the risk of falling and then take measures according to the level of the risk.

[0009] Therefore, the present invention has been made in consideration of such problems, and aims to provide a care status determination device that can subdivide and evaluate the fall risk of a care recipient and contribute to reducing the fall risk. [Means for solving the problem]

[0010] In order to solve the above problems, a care condition determination device according to the present invention is a care condition determination device for determining the care condition of a care recipient, and includes: video acquisition means for acquiring a video of a person to be determined; video analysis means for determining whether the acquired video is a target video taken from the side of the person to be determined standing up from a sitting position; determination means for determining a fall risk of the person to be determined as the care condition of the person to be determined based on the target video determined by the video analysis means; and determination result output means for outputting a fall risk determination result of the determination means, wherein the video analysis means includes coordinate assignment means for assigning coordinate information relating to a plurality of body parts of the person to be determined in a sitting position to the target video, and the determination means calculates the fall risk of the person to be determined using the coordinate information assigned by the coordinate assignment means. The apparatus is equipped with a movement amount measuring means that measures the amount of movement of body parts when the subject stands up, and an angle measuring means that uses the coordinate information assigned by the coordinate assigning means to measure the angle formed by multiple body parts when the subject stands up, and is characterized in that the risk of falling is determined based on the movement amount measured by the movement amount measuring means and the angle measured by the angle measuring means, the coordinate assigning means assigns coordinate information regarding the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus, and the angle measuring means measures the head tilt angle and knee joint angle using the coordinate information regarding the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus.

[0011] Here, the coordinate assignment means may further assign coordinate information regarding the palm, the movement amount measurement means may measure the amount of movement of the palm coordinates when the person to be evaluated stands up, and the determination means may, when the movement amount measurement means does not measure the movement of the palm coordinates, change the criteria for determining the risk of falling based on the amount of movement measured by the movement amount measurement means and the angle measured by the angle measurement means.

[0012] The present invention also provides a care condition determination method for determining the care condition of a care recipient, the method comprising: a video acquisition step of acquiring a video of a person to be determined; a video analysis step of determining whether the video acquired in the video acquisition step is a target video of the person to be determined standing up from a sitting position, taken from the side; a determination step of determining a fall risk of the person to be determined as the care condition of the person to be determined based on the target video determined in the video analysis step; and a determination result output step of outputting a determination result of the fall risk determined in the determination step, wherein the video analysis step includes a coordinate assignment step of assigning coordinate information relating to a plurality of body parts of the person to be determined in a sitting position to the target video, and the determination step further includes outputting a determination result of the fall risk determined in the determination step. and an angle measurement step using the coordinate information assigned in the coordinate assignment step to measure the amount of movement of a body part of the person being evaluated when standing up, wherein the fall risk is determined based on the amount of movement measured in the movement amount measurement step and the angle measured in the angle measurement step, wherein coordinate information relating to the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus is assigned in the coordinate assignment step, and the head tilt angle and the knee joint angle are measured using the coordinate information relating to the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus in the angle measurement step.

[0013] Here, in the coordinate assignment step, coordinate information regarding the palm may further be assigned, and in the movement amount measurement step, the amount of movement of the palm coordinates when the person to be evaluated stands up may be measured, and in the evaluation step, if no movement of the palm coordinates is measured in the movement amount measurement step, the criteria for evaluating the risk of falling may be changed based on the amount of movement measured in the movement amount measurement step and the angle measured in the angle measurement step.

[0014] Furthermore, the present invention provides a computer program for causing a computer to function as a care condition determination device for determining the care condition of a care recipient, the computer being configured to function as video acquisition means for acquiring a video of a person to be determined, video analysis means for determining whether the acquired video is a target video of the person to be determined standing up from a sitting position, taken from the side, determination means for determining a fall risk of the person to be determined as the care condition of the person to be determined based on the target video determined by the video analysis means, and determination result output means for outputting a fall risk determination result of the determination means, and causing the video analysis means to function as coordinate assignment means for assigning coordinate information relating to a plurality of body parts of the person to be determined in a sitting position to the target video, The determining means may be configured as a movement amount measuring means that measures the amount of movement of body parts when the person being evaluated stands up using the coordinate information assigned by the coordinate assigning means, and an angle measuring means that measures the angle formed by multiple body parts when the person being evaluated stands up using the coordinate information assigned by the coordinate assigning means, and the risk of falling is determined based on the movement amount measured by the movement amount measuring means and the angle measured by the angle measuring means, the coordinate assigning means assigns coordinate information regarding the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus, and the angle measuring means measures the head tilt angle and the knee joint angle using the coordinate information regarding the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus.

[0015] Here, the coordinate assignment means may further assign coordinate information regarding the palm, the movement amount measurement means may measure the amount of movement of the palm coordinates when the person to be evaluated stands up, and the determination means may, when the movement amount measurement means does not measure the movement of the palm coordinates, change the criteria for determining the risk of falling based on the amount of movement measured by the movement amount measurement means and the angle measured by the angle measurement means. [Effects of the Invention]

[0016] As described above, the care status determination device of the present invention uses a video of the care recipient's standing-up motion taken from the side to determine whether or not there is a risk of the care recipient falling and how severe the risk is, thereby enabling the care recipient's risk of falling to be evaluated in detail, thereby contributing to reducing the risk of falling. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a block diagram showing a functional configuration of a care condition determining device according to an embodiment of the present invention. [Figure 2] FIG. 4 is a flowchart showing a processing procedure of the care condition determination device. [Figure 3] FIG. 10 is a diagram showing a sitting state of a subject before starting to stand up. [Figure 4] FIG. 10 is a diagram showing a state in which a standing-up operation is started. [Figure 5] FIG. 10 is a diagram showing the transition of a standing-up motion. [Figure 6] FIG. 10 is a diagram showing the transition of a standing-up motion. [Figure 7] FIG. 10 is a diagram showing the transition of a standing-up motion. [Figure 8] FIG. [Figure 9] FIG. 10 is a diagram illustrating the head tilt angle after standing up. [Figure 10] FIG. 10 is a diagram for explaining how to maintain a standing position after standing up. [Figure 11] FIG. 10 is a diagram for explaining how to maintain a standing position after standing up. [Figure 12] FIG. 10 is a diagram for explaining how to maintain a standing position after standing up. [Figure 13] FIG. 10 is a diagram showing a state in which a person places his hands on a table and starts standing up. [Figure 14] 10A to 10C are diagrams illustrating the progression of an action of standing up while placing hands on a table. [Figure 15] FIG. 10 is a diagram showing a state in which the person is standing up with their hands on the table. DETAILED DESCRIPTION OF THE INVENTION

[0018] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A care condition determining device according to the present invention will be described below based on an embodiment.

[0019] FIG. 1 is a block diagram showing a functional configuration of a care condition determining device according to an embodiment of the present invention.

[0020] The care status determination device 1 is a device that determines the care status of a care recipient by analyzing a video of the care recipient's standing up motion, and is equipped with a video acquisition unit 10, a video analysis unit 20, a determination unit 30, and a determination result output unit 40.

[0021] The video acquisition unit 10 imports video of the care recipient (person to be determined) into the device. The video acquisition unit 10 may be configured with a camera that images the care recipient, or may be configured with an input interface that imports video data from an imaging device such as a camera.

[0022] The video analysis unit 20 is a processing unit that analyzes the video that the video acquisition unit 10 has imported into the device, and is composed of a smartphone, mobile information terminal, personal computer, etc. equipped with hardware such as a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), HDD (Hard Disk Drive), and communication interface.

[0023] The video analysis unit 20 first determines whether the captured video is a video (target video) of the subject's standing up motion. The care condition determination device 1 determines the care condition of the subject using a video of the subject's standing up motion captured from the side. The video analysis unit 20 also determines whether the video was taken from a side view. These determinations are made, for example, by artificial intelligence using machine learning. If the determination result shows that the captured video is a video of the subject standing up, it is treated as the target video. If the captured video is not a video of the subject standing up or is not a video taken from the side, it is treated as an error and subsequent determination processing, etc. is not performed. However, the video analysis unit 20 may perform a process to correct the angle of view of a video taken from a direction close to the side so that it becomes a video taken from the side, and then treat it as the target video.

[0024] The video analysis unit 20 includes a coordinate assignment unit 21 that assigns predetermined coordinate information to the target video. The coordinate assignment unit 21 plots each part of the person being judged that is included in the target video and assigns coordinate information to the plotted locations. The assignment of coordinate information can also be performed by artificial intelligence using machine learning. Here, the plotted locations are at least the earlobe, acromion, greater trochanter, posterior surface of the knee joint, and lateral malleolus. Other locations may also be plotted. The target video to which coordinate information has been assigned by the coordinate assignment unit 21 is subjected to judgment processing by the judgment unit 30.

[0025] The judgment unit 30 is a processing unit that judges the care status of the person being judged based on the target video (target video with coordinate information attached) after being analyzed by the video analysis unit 20, and like the video analysis unit 20, is composed of a smartphone, mobile information terminal, personal computer, etc. equipped with hardware such as a CPU, ROM, RAM, HDD, and communication interface.

[0026] Specifically, the determination unit 30 determines the care state of the person being determined by evaluating the time taken for the person to stand up and the posture during the movement using coordinate information and the trajectory included in the target video. The care state of the person being determined here refers to the presence or absence of a risk of falling and the magnitude of the risk of falling. To perform this determination, the determination unit 30 includes a movement amount measurement unit 31, a movement time measurement unit 32, an angle measurement unit 33, and a retention time measurement unit 34, and each of these units is controlled by a control program stored in the determination unit 30.

[0027] The movement amount measuring unit 31 is a processing unit that measures the amount of movement of the coordinate information of the target video. In other words, it measures the amount of movement of the body parts of the person to be judged from the coordinate information assigned by the coordinate assignment unit 21. By measuring the amount of movement of the coordinate information of the target video, the movement amount measuring unit 31 can detect the movement of the person to be judged, and the start and end of the movement, the stability of the movement, etc. can be judged.

[0028] The movement time measurement unit 32 is a processing unit, which is realized by, for example, a timer, that measures the time taken for the movement of the person to be determined detected by the movement amount measurement unit 31. The movement time measurement unit 32 determines whether the time required for the movement is within a predetermined time.

[0029] The angle measurement unit 33 is a processing unit that measures the posture, etc. of the person to be judged based on the coordinate information of the target video. In other words, it measures the angle formed by multiple body parts of the person to be judged from the coordinate information assigned by the coordinate assignment unit 21. The angles formed by multiple body parts include the head tilt angle and knee joint angle, which will be described in detail later. By measuring the angle formed by the multiple body parts, the posture, etc. of the person to be judged is measured, and the angle measurement unit 33 determines whether the angle is within a predetermined range.

[0030] The retention time measurement unit 34 is a processing unit that measures the time for which the subject maintains the standing state after the movement amount measurement unit 31 detects the end of the subject's movement, and is realized by, for example, a timer. Specifically, the retention time measurement unit 34 measures the time for which the subject maintains the standing state after the subject completes the standing movement, and determines whether the retention time is within a predetermined time.

[0031] The movement amount measuring unit 31, the operation time measuring unit 32, the angle measuring unit 33, and the holding time measuring unit 34 Each unit refers to a database that stores information on the amount of movement of a body part, angle information such as head tilt angle, and information on the time required for the action and the time it is maintained, and performs each of the above-mentioned determinations by comparing this information. Note that this database may be provided inside the care condition determination device 1, or may be installed outside the device (for example, on the cloud).

[0032] The determination result output unit 40 outputs the determination result of the determination unit 30 to the user (caregiver, etc.). The determination result output unit 40 may be configured as a display device such as a screen display unit of the smartphone or mobile information terminal that constitutes the determination unit 30 or a display of a personal computer, or may be configured as a communication interface that transmits the determination result via a communication network such as the Internet. Note that when the determination result output unit 40 is configured as a display device such as a screen display unit of the smartphone or mobile information terminal or a display of a personal computer, it may also function as an input means that displays each processing screen of the video acquisition unit 10, the video analysis unit 20, and the determination unit 30 to the user, and accepts operation input from the user.

[0033] An example of the processing procedure of the care condition determining device configured in this manner will be described.

[0034] 2 is a flowchart showing the processing procedure of the care condition determining device, which will be described in order along the flowchart with reference to FIGS.

[0035] First, when the video acquisition unit 10 acquires a video (step S1), the video analysis unit 20 determines whether the acquired video is a target video, and the coordinate assignment unit 21 assigns predetermined coordinate information to the target video (step S2).

[0036] FIG. 3 is a diagram showing the seated state of the subject 2 before starting to stand up. In FIG. 3, the subject 2 is seated in a chair 3 in a relaxed state. The figures show earlobe coordinates 51 plotted on the earlobe of the subject 2, acromion coordinates 52 plotted on the acromion of the subject 2, greater trochanter coordinates 53 plotted on the greater trochanter of the subject 2, posterior knee joint coordinates 54 plotted on the posterior knee joint of the subject 2, and lateral malleolus coordinates 55 plotted on the lateral malleolus of the subject 2. Virtual lines extending from each coordinate are shown, but these virtual lines are added for ease of understanding. Therefore, these virtual lines may be omitted, for example, they may not be displayed on the processing screen displayed to the user.

[0037] Next, when the movement amount measurement unit 31 of the judgment unit 30 detects the start of the standing up movement of the person to be judged (step S3), the movement time measurement unit 32 starts measuring the movement time, and the angle measurement unit 33 starts measuring the posture, etc. of the person to be judged.

[0038] 4 is a diagram showing the start of a standing-up movement. The start of the standing-up movement of the subject 2 is when the determination unit 30 detects that the buttocks of the subject 2 have left the seat of the chair 3. As shown in FIG. 4, the angle measurement unit 33 determines that the angle (knee joint flexion angle) formed by the imaginary line connecting the greater trochanter coordinate 53 and the knee joint posterior surface coordinate 54 and the imaginary line connecting the knee joint posterior surface coordinate 54 and the lateral malleolus coordinate 55 at the knee joint posterior surface coordinate 54 is 90 degrees, and evaluates any changes from this state.

[0039] 5 to 7 are diagrams showing the progression of the standing-up movement.

[0040] Figure 5 shows the state just after the start of the movement, when the knee joint flexion angle is about 85 degrees. Figure 6 shows the state after moving on from Figure 5, when the knee joint flexion angle has decreased to about 45 degrees and the body is in the process of standing up. Figure 7 shows the state after moving on, when the knee joint flexion angle has reached about 30 degrees. This indicates that the road is about to start rising.

[0041] When the angle measurement unit 33 measures that the flexion angle of the knee joint is 15 degrees or less (Yes in step S4), the determination unit 30 recognizes that the person to be determined 2 has stood up (step S5).

[0042] FIG. 8 shows the standing state.

[0043] As shown in Figure 8, when the dashed-dotted line extending vertically upward from the lateral malleolus coordinate 55 passes through the earlobe coordinate 51, the knee joint flexion angle becomes approximately 0 degrees and the subject 2 is in an upright standing position, i.e., standing up. The dashed-dotted line extending vertically upward from the lateral malleolus coordinate 55 indicates the ideal center of gravity line in an upright position. The recognition by the determination unit 30 that the subject 2 has stood up signifies the end of the standing-up motion.

[0044] The movement time measurement unit 32 measures the movement time from the start of the standing up movement to the end of the standing up movement shown in Fig. 8, and determines whether the movement time is within a predetermined range (step S6). If the movement time is between 5 seconds and less than 10 seconds, the angle measurement unit 33 determines the head tilt angle.

[0045] FIG. 9 is a diagram for explaining the head tilt angle after standing up.

[0046] The head tilt angle is the angle between the ideal center of gravity line, indicated by a dashed line extending vertically upward from the lateral malleolus coordinate 55, and the straight line (dashed line in FIG. 9 ) connecting the lateral malleolus coordinate 55 and the earlobe coordinate 51. The angle measurement unit 33 uses this head tilt angle to determine the posture of the subject 2. If the head tilt angle is less than 30 degrees (Yes in step S7), the angle measurement unit 33 also takes into consideration the time the subject has maintained an upright position measured by the maintenance time measurement unit 34, and determines the risk of falling (step S8). The dashed line in FIG. 9 is the actual center of gravity line of the subject. If this dashed line is located forward of the dashed line indicating the ideal center of gravity line, it indicates that the subject is not standing upright but is leaning forward, and this can be used to determine the risk of falling.

[0047] If the standing position is maintained for less than 5 to 10 seconds, the judgment unit 30 judges that the person 2 to be judged is at high risk of falling (step S9), and the judgment result output unit 40 outputs the judgment result (step S12), and the processing ends.

[0048] The reason why the risk of falling is judged to be high when the flow shown in Figure 2 involves going straight down is that the standing up movement takes a certain amount of time (5 to 10 seconds) that cannot be said to be smooth, and although the head tilt angle cannot be said to be bad posture, the person being assessed 2 is only able to maintain an upright position for a short period of time, so the person being assessed is said to have unstable movements.

[0049] On the other hand, if the subject 2 can stand up smoothly in less than 5 seconds or can maintain a standing position for a long time of 10 seconds or more after the movement, the subject 2 is determined to have a low risk of falling (step S10), and the determination result output unit 40 outputs the determination result (step S12), and the process ends. This is because the movement of the subject 2 who moves in this way can be evaluated as being stable, and therefore the risk of falling can be determined to be low.

[0050] On the other hand, if the knee joint flexion angle does not become 15 degrees or less even after a predetermined time has elapsed (No in step S4), if the standing-up movement time is 10 seconds or more, or if the head tilt angle exceeds 30 degrees (No in step S7) and the posture of the person to be evaluated 2 is not good, or if the person to be evaluated 2 cannot maintain the standing position for 5 seconds after the movement, the person to be evaluated 2 will not be able to perform the standing-up movement defined here. It is determined that the threshold value is not met (rising point not reached) (step S11), and the determination result output unit 40 outputs the determination result (step S12), thereby terminating the process.

[0051] 10 to 12 are diagrams for explaining how to maintain a standing position after standing up.

[0052] 10, if the head of the person being evaluated 2 sways back and forth and the head tilt angle exceeds 30 degrees, the evaluation unit 30 determines that the person has not yet stood up. Also, even if the head tilt angle does not exceed 30 degrees, if the swaying back and forth continues for 5 seconds or more, the person being evaluated as not having stood up is unable to maintain an upright position.

[0053] Fig. 11 shows a state in which the subject 2 is unable to maintain a standing position and has lost his balance. Fig. 12 shows a state in which the subject 2 is unable to maintain a standing position and has sat down. When this state occurs, the movement amount measuring unit 31 detects an abnormality in the trajectory of each piece of coordinate information, and the angle measuring unit 33 detects a sudden change in the flexion angle of the knee joint, so the determining unit 30 determines that the subject has not yet achieved standing up.

[0054] In this way, the subject 2 who is determined to have not yet reached the standing state is not expected to fall from a standing position, so there is no risk of falling, and the care state will not be determined by this care state determination device 1.

[0055] A case where the subject 2 places his / her hands on a table, desk, etc. and stands up will also be described.

[0056] Fig. 13 shows the state where the person starts standing up with their hands on the table, Fig. 14 shows the progression of the standing up movement with their hands on the table, and Fig. 15 shows the state where the person has stood up with their hands on the table.

[0057] In such a case, the coordinate assigning unit 21 of the video analyzing unit 20 plots the palm coordinates 56 on the hand of the person to be judged 2. Normally, when standing up on the hands, the position of the hands does not change from the start to the end of the standing up motion. Therefore, the movement amount measuring unit 31 senses whether the coordinate information of the palm coordinates 56 shows an abnormal trajectory, and if an abnormal trajectory is shown, the judging unit 30 judges that the person has not yet stood up.

[0058] Here, an example is shown in which the person stands up with their hands on a table, but the same processing can be applied when holding onto a handrail to stand up, as the position of the hands does not change from the start to the end of the movement.

[0059] In addition, when standing up with hands on a table, the evaluation criteria may be changed, such as shortening the movement time or lengthening the time the person maintains the standing position. For example, when standing up with hands on a table, the person leans forward slightly, which may cause the center of gravity to move forward and increase the head tilt angle. Therefore, when it is detected that the person is standing up with hands on a table, it is better to relax the criteria so that the posture of the person to be evaluated 2 is determined to be poor if the head tilt angle exceeds 35 degrees.

[0060] Furthermore, if a table is in front of the person, the action of placing one's hands on the table and standing up is a natural action that is not limited to those receiving care. Therefore, if the standing action itself is smooth, whether or not the person places their hands on the table is thought to have little effect on the fall risk assessment. Therefore, when changing the evaluation criteria, it is also possible to make a judgment by lengthening the time the person maintains a standing position (for example, less than 15 seconds), or to add coordinate information around the elbows to determine whether the arms are trembling while the person maintains a standing position. Furthermore, the evaluation criteria may be changed depending on the person 2 to be evaluated, such as by setting evaluation criteria only for persons 2 whose action time is close to the threshold for being judged to have a high risk of falling.

[0061] In this way, according to the care status assessment device of this embodiment, a video of the person being assessed, who is the person being cared for, standing up, is captured from the side, and coordinate information for each body part of the person being assessed is added to the video.The amount of movement, movement time, angle, etc. of the coordinate information are used to determine whether or not the person being cared for is at risk of falling, and how severe this is.This allows the care recipient's risk of falling to be assessed in detail, and can be used to help reduce the risk of falling.

[0062] The above describes the nursing care status determination device of the present invention based on an embodiment, but the present invention is not limited to this, and various design modifications are possible as long as the object of the present invention can be achieved and the gist of the invention is not deviated from, and all of these are included within the scope of the present invention.

[0063] For example, the numerical values ​​for the number of seconds and angles shown in the above embodiment are merely guidelines, and these values ​​may be adjusted up or down depending on the person being assessed, taking into account the person's age, gender, past medical history, etc. [Industrial Applicability]

[0064] INDUSTRIAL APPLICABILITY The care condition determining device according to the present invention is useful as a device for determining the care condition of a care recipient in a care facility, a home care facility, or the like. [Explanation of symbols]

[0065] 1. Care status determination device 2. Persons to be judged 3 chairs 4 tables 10 Video acquisition unit 20 Video Analysis Section 21 Coordinate assignment section 30 Judgment section 31 Movement measurement unit 32 Operating time measurement unit 33 Angle measurement unit 34 Retention time measurement unit 40 Judgment result output unit 51 Ear lobe coordinates 52 Acromial coordinates 53 Greater trochanter coordinate 54 Posterior knee joint coordinates 55 Lateral malleolus coordinates 56 Palm Coordinates

Claims

1. A care condition determination device for determining a care condition of a care recipient, a video acquisition means for acquiring a video of a person to be judged; a video analysis means for determining whether the acquired video is a target video in which the subject is filmed from the side in which the subject stands up from a sitting position; a determination means for determining a fall risk of the subject as a care state of the subject based on the target video determined by the video analysis means; a determination result output means for outputting a result of the determination of the risk of falling by the determination means, the video analysis means includes a coordinate assignment means for assigning coordinate information relating to a plurality of body parts of the person whose sitting state is to be determined to the target video, The determination means a movement amount measuring means for measuring a movement amount of a body part of the subject when the subject stands up, using the coordinate information assigned by the coordinate assigning means; an angle measurement means for measuring angles formed by a plurality of body parts of the subject when standing up, using the coordinate information assigned by the coordinate assignment means; determining the risk of falling based on the movement amount measured by the movement amount measuring means and the angle measured by the angle measuring means; the coordinate assigning means assigns coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus; The angle measuring means measures the head tilt angle and the knee joint angle using coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus. A care condition determination device characterized by:

2. The coordinate assigning means further assigns coordinate information relating to the palm, the movement amount measuring means measures a movement amount of a palm coordinate when the subject stands up, The determining means changes the criteria for determining the risk of falling based on the amount of movement measured by the movement amount measuring means and the angle measured by the angle measuring means when the movement amount measuring means does not measure the movement of the palm coordinates.

2. The care condition determining device according to claim 1.

3. A care state determination method for determining a care state of a care recipient, comprising: a video acquisition step of acquiring a video of the person to be determined; a video analysis step of determining whether the video acquired in the video acquisition step is a target video captured from the side of the person to be determined standing up from a sitting position; a determination step of determining a fall risk of the subject as a care state of the subject based on the target video determined in the video analysis step; a determination result output step of outputting a determination result of the fall risk determined in the determination step, the moving image analyzing step includes a coordinate assigning step of assigning coordinate information relating to a plurality of body parts of the person whose sitting state is to be determined to the target moving image, In the determining step, a movement amount measuring step of measuring a movement amount of a body part of the subject when standing up, using the coordinate information assigned in the coordinate assigning step; an angle measuring step of measuring angles formed by a plurality of body parts of the person to be determined when standing up, using the coordinate information assigned in the coordinate assigning step; determining the risk of falling based on the movement amount measured in the movement amount measuring step and the angle measured in the angle measuring step; In the coordinate assignment step, coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus is assigned; In the angle measuring step, the head tilt angle and the knee joint angle are measured using coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus. A method for determining a care condition.

4. In the coordinate assignment step, coordinate information relating to a palm is further assigned, In the movement amount measuring step, a movement amount of a palm coordinate when the subject stands up is measured; In the determination step, if the movement of the palm coordinates is not measured in the movement amount measurement step, the fall risk determination criterion based on the movement amount measured in the movement amount measurement step and the angle measured in the angle measurement step is changed.

4. The method for determining a care condition according to claim 3.

5. A computer program for causing a computer to function as a care condition determination device that determines a care condition of a care recipient, The computer a video acquisition means for acquiring a video of a person to be judged; a video analysis means for determining whether the acquired video is a target video in which the subject is filmed from the side in which the subject stands up from a sitting position; a determination means for determining a fall risk of the subject as a care state of the subject based on the target video determined by the video analysis means; functioning as a determination result output means for outputting the result of the determination of the risk of falling by the determination means; the video analysis means functions as a coordinate assignment means for assigning coordinate information relating to a plurality of body parts of the person whose sitting state is to be determined to the target video; The determination means a movement amount measuring means for measuring a movement amount of a body part of the subject when the subject stands up, using the coordinate information assigned by the coordinate assigning means; using the coordinate information assigned by the coordinate assigning means to function as angle measuring means for measuring angles formed by a plurality of body parts when the person to be determined stands up; determining the risk of falling based on the movement amount measured by the movement amount measuring means and the angle measured by the angle measuring means; the coordinate assigning means assigns coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus; The angle measuring means measures the head tilt angle and the knee joint angle using coordinate information relating to the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus. Computer program.

6. The coordinate assigning means further assigns coordinate information relating to the palm, the movement amount measuring means measures a movement amount of a palm coordinate when the subject stands up, The determining means changes the criteria for determining the risk of falling based on the amount of movement measured by the movement amount measuring means and the angle measured by the angle measuring means when the movement amount measuring means does not measure the movement of the palm coordinates.

6. The computer program according to claim 5.

Images