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公开(公告)号：US20240082636A1
公开(公告)日：2024-03-14
申请号：US18269130
申请日：2021-03-25
Applicant: NEC Corporation
Inventor： Makoto YASUKAWA , Kosuke NISHIHARA , Yuji OHNO
IPC: A63B24/00
CPC classification number: A63B24/0006 , A63B2024/0012
Abstract: An exercise assisting apparatus 1 includes: a division unit 312 configured to divide sample motion information 3231 indicating motions of a sample person doing exercise into a plurality of pieces of motion element information 3235, according to regularity of the motions of the sample person; and a generation unit 314 configured to generate an inference model by causing a pre-trained model 322 to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information 3211 indicating the motions of the target person doing exercise.
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公开(公告)号：US20250107750A1
公开(公告)日：2025-04-03
申请号：US18892763
申请日：2024-09-23
Inventor： Shuhei NOYORI , Makoto YASUKAWA , Keisuke SUZUKI , Yuki KOSAKA , Akimoto NIMURA , Koji FUJITA , Takuya IBARA
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.
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公开(公告)号：US20240033570A1
公开(公告)日：2024-02-01
申请号：US18378773
申请日：2023-10-11
Applicant: NEC Corporation
Inventor： Makoto YASUKAWA , Kosuke NISHIHARA , Yuji OHNO
IPC: A63B24/00
CPC classification number: A63B24/0006 , A63B2024/0012 , A63B2220/05 , A63B2220/805
Abstract: An exercise assisting apparatus 1 includes: a division unit 312 configured to divide sample motion information 3231 indicating motions of a sample person doing exercise into a plurality of pieces of motion element information 3235, according to regularity of the motions of the sample person; and a generation unit 314 configured to generate an inference model by causing a pre-trained model 322 to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information 3211 indicating the motions of the target person doing exercise.
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公开(公告)号：US20250120614A1
公开(公告)日：2025-04-17
申请号：US18685262
申请日：2022-07-25
Inventor： Makoto YASUKAWA , Yuji OHNO , Yuki KOSAKA , Hirofumi TAKASE , Junpei KATOU , Akimoto NIMURA , Koji FUJITA , Takuya IBARA
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.
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Patent Agency Ranking
5.发明公开公开(公告)号：US20230346318A1
公开(公告)日：2023-11-02
申请号：US18128561
申请日：2023-03-30
Inventor： Makoto YASUKAWA , Shuhei NOYORI , Kosuke Nishihara , Yuki Kosaka , Akimoto Nimura , Koji Fujita , Takuya Ibara
CPC classification number: A61B5/7235 , A61B5/0803 , A61B5/7275
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.
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公开(公告)号：US20250121252A1
公开(公告)日：2025-04-17
申请号：US18379877
申请日：2023-10-13
Applicant: NEC Corporation
Inventor： Makoto YASUKAWA , Kosuke NISHIHARA , Yuji OHNO
Abstract: An exercise assisting apparatus 1 includes: a division unit 312 configured to divide sample motion information 3231 indicating motions of a sample person doing exercise into a plurality of pieces of motion element information 3235, according to regularity of the motions of the sample person; and a generation unit 314 configured to generate an inference model by causing a pre-trained model 322 to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information 3211 indicating the motions of the target person doing exercise.
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7.发明公开公开(公告)号：US20240206769A1
公开(公告)日：2024-06-27
申请号：US18396312
申请日：2023-12-26
Inventor： Makoto YASUKAWA , Shuhel NOYORI , Akimoto NIMURA , Koji FUJITA , Takuya IBARA
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.
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8.发明公开公开(公告)号：US20240212103A1
公开(公告)日：2024-06-27
申请号：US18392997
申请日：2023-12-21
Inventor： Makoto YASUKAWA , Keisuke SUZUKI , Shuhei NOYORI , Akimoto NIMURA , Koji FUJITA , Takuya IBARA
CPC classification number: G06T5/50 , G06T7/11 , G06T7/13 , G06V10/761 , G06T2207/20044 , G06T2207/20221
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.
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公开(公告)号：US20240033574A1
公开(公告)日：2024-02-01
申请号：US18379880
申请日：2023-10-13
Applicant: NEC Corporation
Inventor： Makoto YASUKAWA , Kosuke NISHIHARA , Yuji OHNO
IPC: A63B24/00
CPC classification number: A63B24/0062 , A63B2220/836 , A63B2225/52
Abstract: An exercise assisting apparatus 1 includes: a division unit 312 configured to divide sample motion information 3231 indicating motions of a sample person doing exercise into a plurality of pieces of motion element information 3235, according to regularity of the motions of the sample person; and a generation unit 314 configured to generate an inference model by causing a pre-trained model 322 to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information 3211 indicating the motions of the target person doing exercise.
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