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公开(公告)号:US20250032024A1
公开(公告)日:2025-01-30
申请号:US18716281
申请日:2021-12-27
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Fumiyuki NIHEY , Hiroshi KAJITANI , Yoshitaka NOZAKI , Kenichiro FUKUSHI , Kenichiro FUKUSHI
Abstract: Provided is a muscular strength index estimation device that includes a data acquisition unit that acquires feature amount data including a feature amount, the feature amount being extracted from a feature of gait of a user and being used for estimation of a muscular strength index of the user, a storage unit that stores an estimation model that outputs the muscular strength index in accordance with an input of the feature amount data, an estimation unit that inputs the acquired feature amount data to the estimation model to estimate the muscular strength index of the user, and an output unit that outputs information regarding the estimated muscular strength index.
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公开(公告)号:US20250032023A1
公开(公告)日:2025-01-30
申请号:US18716325
申请日:2021-12-27
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Fumiyuki NIHEY , Zhenwei WANG , Hiroshi KAJITANI , Yoshitaka NOZAKI , Kenichiro FUKUSHI
Abstract: Provided is a muscle strength evaluation device that includes a data acquisition unit that acquires feature quantity data including a feature quantity used for estimation of a muscle strength of an evaluation target muscle related to a fall risk, the feature quantity data being extracted from sensor data related to movement of a user's foot, a storage unit that stores an estimation model that outputs a muscle strength index of the evaluation target muscle according to an input of the feature quantity data, an evaluation unit that inputs the acquired feature quantity data to the estimation model and evaluate a muscle strength of the evaluation target muscle of the user according to the muscle strength index output from the estimation model, and an output unit that outputs information regarding an evaluation result related to the muscle strength of the evaluation target muscle of the user.
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3.
公开(公告)号:US20240148317A1
公开(公告)日:2024-05-09
申请号:US18411130
申请日:2024-01-12
Applicant: NEC Corporation
Inventor: Zhenwei WANG , Chenhui HUANG , Kenichiro FUKUSHI , Kazuki IHARA , Fumiyuki NIHEY , Hiroshi KAJITANI , Yoshitaka NOZAKI , Kentaro NAKAHARA
CPC classification number: A61B5/4571 , A61B5/112 , A61B5/7278 , G16H40/63
Abstract: Provided is a pelvic inclination estimation device including a communication unit that acquires feature amount data including a feature amount to be used for estimation of a pelvic inclination, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the pelvic inclination according to an input of the feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model and estimate a pelvic inclination of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the pelvic inclination of the subject.
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4.
公开(公告)号:US20240138713A1
公开(公告)日:2024-05-02
申请号:US18410260
申请日:2024-01-11
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Zhenwei WANG , Fumiyuki NIHEY
CPC classification number: A61B5/112 , A61B5/6807
Abstract: Provided is a harmonic index estimation device including a communication unit that acquires feature amount data including a feature amount used for estimation of a harmonic index related to smoothness of movement of a waist, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the harmonic index, according to an input of the feature amount included in the feature amount data, an estimation unit that inputs the feature amount included in the feature amount data to the estimation model and estimate a harmonic index of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the harmonic index.
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5.
公开(公告)号:US20240122531A1
公开(公告)日:2024-04-18
申请号:US18395817
申请日:2023-12-26
Applicant: NEC Corporation
Inventor: Kazuki IHARA , Kenichiro FUKUSHI , Zhenwei WANG , Chenhui HUANG , Hiroshi KAJITANI , Fumiyuki NIHEY , Yoshitaka NOZAKI , Kentaro NAKAHARA
CPC classification number: A61B5/4585 , A61B5/112 , A61B5/6807 , A61B2562/0219
Abstract: An index value estimation device including a data acquisition unit that acquires feature amount data including a feature amount extracted from sensor data related to a motion of a foot of a user and used for estimating an index value indicating a knee state of the user, a storage unit that stores an estimation model that outputs an index value according to an input of the feature amount data, an estimation unit that estimates an output obtained by inputting the acquired feature amount data to the estimation model as an index value indicating the knee state of the user, and an output unit that outputs information about the estimated index value indicating the knee state of the user.
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公开(公告)号:US20250068923A1
公开(公告)日:2025-02-27
申请号:US18726466
申请日:2022-01-24
Applicant: NEC CORPORATION
Inventor: Kenichiro FUKUSHI , Hiroshi KAJITANI , Fumiyuki NIHEY , Chenhui HUANG , Kazuki IHARA , Zhenwei WANG , Yoshitaka NOZAKI , Kentaro NAKAHARA
Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.
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公开(公告)号:US20250046464A1
公开(公告)日:2025-02-06
申请号:US18716641
申请日:2021-12-27
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Fumiyuki NIHEY , Zhenwei WANG , Hiroshi KAJITANI , Yoshitaka NOZAKI , Kenichiro FUKUSHI
IPC: G16H50/30
Abstract: Provided is a static balance estimation device that includes a data acquisition unit that acquires feature amount data that include a feature amount to be used for estimating static balance of a user, the feature amount being extracted from a feature of a gait of the user, a storage unit that stores an estimation model that outputs a static balance index related to input of the feature amount data, an estimation unit that inputs the acquired feature amount data into the estimation model and estimates the static balance of the user according to the static balance index output by the estimation model, and an output unit that outputs information related to the estimated static balance of the user.
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公开(公告)号:US20250040831A1
公开(公告)日:2025-02-06
申请号:US18716606
申请日:2021-12-27
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Fumiyuki NIHEY , Zhenwei WANG , Hiroshi KAJITANI , Yoshitaka NOZAKI , Kenichiro FUKUSHI
IPC: A61B5/11
Abstract: Provided is a mobility estimation device that includes a data acquisition unit that acquires feature amount data including a feature amount used for estimating a mobility of a user, the feature amount data being extracted from sensor data regarding a movement of a foot of the user, a storage unit that stores an estimation model that outputs a mobility index based on an input of the feature amount data, an estimation unit that inputs the acquired feature amount data to the estimation model and estimates the mobility of the user in accordance with the mobility index output from the estimation model, and an output unit that outputs information regarding the estimated mobility of the user.
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9.
公开(公告)号:US20240172966A1
公开(公告)日:2024-05-30
申请号:US18411154
申请日:2024-01-12
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Zhenwei WANG , Fumiyuki NIHEY
CPC classification number: A61B5/112 , A61B5/6807
Abstract: Provided is a harmonic index estimation device including a communication unit that acquires feature amount data including a feature amount used for estimation of a harmonic index related to smoothness of movement of a waist, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the harmonic index, according to an input of the feature amount included in the feature amount data, an estimation unit that inputs the feature amount included in the feature amount data to the estimation model and estimate a harmonic index of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the harmonic index.
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公开(公告)号:US20240148278A1
公开(公告)日:2024-05-09
申请号:US18411324
申请日:2024-01-12
Applicant: NEC Corporation
Inventor: Chenhui HUANG , Kenichiro FUKUSHI , Zhenwei WANG , Hiroshi KAJITANI , Fumiyuki NIHEY , Kentaro NAKAHARA
CPC classification number: A61B5/112 , A61B5/1074
Abstract: An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.
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