Abstract: To provide an information processing apparatus and the like that are capable of dividing an image indicating movement of a subject into a chest region and an abdominal region along anatomical knowledge. The information processing apparatus inputs time-series distance image data acquired by measuring a distance from a subject during a breathing exercise. The apparatus calculates a standard deviation image indicating a standard deviation of values for each pixel in a distance image indicated by the time-series distance image data. The apparatus executes division processing of dividing the standard deviation image into the chest region and the abdominal region of the subject by using a differential value in a direction of an intersection line between a sagittal plane and a frontal plane of the subject with respect to the standard deviation image. The apparatus outputs a result of the division processing by superimposing the result on the standard deviation image.

Abstract: A posture measurement apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to hold a shape model representing a shape of a back of a subject as a function of a plurality of parameters, execute calculation processing of calculating a value of a predetermined objective function using a candidate point cloud as a candidate of a point cloud indicating the shape of the back of the subject and the shape model as inputs, and execute an optimization processing of correcting the parameters in such a way as to minimize the value of the predetermined objective function using a constraint condition of the parameters and the shape model as inputs.

Abstract: A processing apparatus according to the present disclosure includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to: receive inputs of either three-dimensional or two-dimensional skeleton key point coordinate estimation values and a gravity direction vector as input information for two images obtained by image capturing a frontal plane of a person at a time of standing and after rotation; calculate a width of a specific part from each of two silhouette images respectively indicating silhouettes of the two images, collate the width of the specific part that has been calculated and the gravity direction vector with anatomical knowledge, and calculate compensated coordinate values for the skeleton key point coordinate estimation values of the specific part in an image after the rotation; and output the compensated coordinate values that have been calculated.

Abstract: A posture evaluation apparatus, a posture evaluation system, a posture evaluation method, and a non-transitory computer-readable medium that are able to evaluate a posture with high accuracy at a relatively low cost are provided. A posture evaluation apparatus includes a spine extracting means for extracting, based on an image acquired by imaging a side surface of a body of a subject person and position information about at least a cervical vertebrae, hip joints, and knee joints of the body on the image, a spine edge point cloud constituted of a predetermined number of points representing a spine shape on the image, a feature value calculating means for calculating a feature value about at least a spine, based on the position information and the spine edge point cloud, and a state estimating means for estimating a state of at least the spine, based on the feature value.

Abstract: Provided are a motor function improvement assistance apparatus, a motor function improvement assistance method, and a motor function improvement assistance program that are capable of improving a motor function. The motor function improvement assistance apparatus includes: a background knowledge storage unit that stores background knowledge in which a state of an observable body part and a kinematic problem of the state of the body part are associated with each other, based on a causal relationship; an observation reception unit that receives an observation including examination information and medical interview information of a subject; a hypothesis generation unit that generates, based on the background knowledge and the observation, a plurality of kinematic problem hypotheses by using hypothesis inference; and a hypothesis link generation unit that generates a combination of hypotheses that include an interaction therebetween.

Abstract: An acquisition unit acquires image data indicating at least a chest and an abdomen of a test subject. A detection unit detects the displacement of each of the chest and abdomen of the test subject by using the image data. A display control unit performs control so that the movement image of each of the chest and abdomen is displayed based on the detected displacement of the chest and abdomen. When the movement of the chest and the movement of the abdomen are synchronized with each other, the display control unit performs control so that the display form of the chest movement image and the display form of the abdomen movement image are the same as each other.

Abstract: To provide a posture evaluation apparatus, a posture evaluation system, a posture evaluation method, and a program that are capable of suitably evaluating a backward-bending posture. The posture evaluation apparatus according to the present disclosure calculates a feature including at least a feature of an inclination of a head relative to a trunk, based on body information including information indicating at least an inclination of the trunk and an inclination of the head in a body of a subject person in a backward-bending posture in which the subject person is bent backward, and estimates a state of at least a spine in the backward-bending posture, based on the calculated feature.

Abstract: To provide an information processing apparatus and the like that are capable of dividing an image indicating movement of a subject into a chest region and an abdominal region along anatomical knowledge. The information processing apparatus inputs time-series distance image data acquired by measuring a distance from a subject during a breathing exercise. The apparatus calculates a standard deviation image indicating a standard deviation of values for each pixel in a distance image indicated by the time-series distance image data. The apparatus executes division processing of dividing the standard deviation image into the chest region and the abdominal region of the subject by using a differential value in a direction of an intersection line between a sagittal plane and a frontal plane of the subject with respect to the standard deviation image. The apparatus outputs a result of the division processing by superimposing the result on the standard deviation image.

Abstract: An information processing apparatus and the like capable of calculating a respiratory feature amount necessary for evaluating a breathing motor function of a subject is provided. The information processing apparatus inputs time-series distance image data acquired by measuring a distance from the subject during a breathing exercise and division position data indicating a position at which a chest region and an abdominal region of the subject are divided in the time-series distance image data. The information processing apparatus calculates a standard deviation image indicating a standard deviation of values for each pixel in a distance image indicated by the time-series distance image data. The information processing apparatus calculates a respiratory feature amount indicating a feature of breathing of the subject, based on a divided standard deviation image acquired by dividing the standard deviation image for each divided region being divided at a position indicated by the division position data.

Abstract: An information processing apparatus inputs expiratory phase data being data of expiratory phase and inspiratory phase data being data of inspiratory phase, for each of abdominal waveform data indicating a breathing waveform of an abdomen of a subject performing breathing training and chest waveform data indicating a breathing waveform of a chest of the subject. The information processing apparatus calculates a phase difference between the abdominal waveform data and the chest waveform data in each of the expiratory phase and the inspiratory phase.