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公开(公告)号:US20220328160A1
公开(公告)日:2022-10-13
申请号:US17761676
申请日:2020-07-29
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Toshinori HOSOI , Masahiro KUBO , Yuan LUO , Shigemi KITAHARA
Abstract: A rehabilitation work support apparatus, a rehabilitation work support method, and a program capable of reducing a work burden on a therapist are provided. A rehabilitation work support apparatus (1) includes a difference calculation unit (2) and a difference output unit (3). The difference calculation unit (2) calculates, for each type of ability, a difference between a target value for a patient's ability value in rehabilitation and the patient's ability value at a time before a start of the rehabilitation or during the rehabilitation. The difference output unit (3) performs control so as to output information representing the calculated difference for each type of ability.
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2.
公开(公告)号:US20180225634A1
公开(公告)日:2018-08-09
申请号:US15742948
申请日:2016-07-14
Applicant: NEC Corporation , NEC SOLUTION INNOVATORS, LTD.
Inventor: Yuki KOSAKA , Hiroaki FUKUNISHI , Hirofumi TANAKA , Masashi NAKAMICHI , Haruka OKAMOTO
CPC classification number: G06Q10/1091 , G06N20/00 , G06Q10/063 , G06Q10/06398 , G06Q10/105 , G16H50/30
Abstract: A data analysis device includes: a data acquiring unit that acquires a designation of a target field being a field from which relevance is to be extracted, from among fields included in health condition data being information relating to a health condition of an employee, and the health condition data of two or more employees and attendance data being information relating to a work condition; an attribute data generating unit that performs aggregation, and generates attribute data; a model learning unit that learns a model, the model being represented by a polynomial, by using a content of the target field of the health condition data, and a content of the attribute data, of the two or more employees; a related field extracting unit that extracts an attribute field; and a summarizing unit that summarizes and outputs attendance data, based on information on the extracted attribute field.
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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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4.
公开(公告)号:US20240046121A1
公开(公告)日:2024-02-08
申请号:US18382148
申请日:2023-10-20
Applicant: NEC Corporation
Inventor: Eiji YUMOTO , Masahiro HAYASHITANI , Takeshi HASEGAWA , Yuki KOSAKA
Abstract: In order to achieve an object to determine, with high accuracy, that a target is in a specific state, a state determination apparatus includes: a calculation section that calculates, on the basis of data obtained from the target, a score indicative of a degree to which the target is in the specific state; a decision section that decides a threshold on the basis of the data; and a determination section that determines, by comparing the score and the threshold, whether the target is in the specific state.
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公开(公告)号:US20230420129A1
公开(公告)日:2023-12-28
申请号:US18210428
申请日:2023-06-15
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Shinto Eguchi
IPC: G16H50/20
CPC classification number: G16H50/20
Abstract: A machine learning model generation apparatus includes: a movement unit that performs movement processing of moving a sample, having an output error of a (t+1)-th order machine learning model with respect to observation data at time t+1 being larger than a predetermined amount, from the target sample group to a source sample group; and a generation unit that generates a plurality of weak learners by using at least observation data of a sample included in the target sample group after the movement processing and a sample included in the source sample group after the movement processing, and generates a t-th order machine learning model, based on at least each of the plurality of weak learners, and a classification error being evaluated, for each of the plurality of weak learners, by using observation data at time t of the sample included in the target sample group after the movement processing.
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公开(公告)号:US20210362005A1
公开(公告)日:2021-11-25
申请号:US16963385
申请日:2019-01-16
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Yusuke TAKAHASHI , Charles CHOY
Abstract: The present disclosure relates to method and system for signal processing rehabilitation exercise signals. The method comprises the step of receiving a first and a second motion signals associated with movements of a body part, wherein the motion signals comprise temporal data of the movements. The method further comprises the step of segmenting each of the first and second motion signals into a plurality of segmented signals based on gradients of the motion signals, wherein each segmented signal has consistent gradient. The method further comprises the step of automatically modifying the segmented signals to form multiple combinations of matching signals with similar gradients between the first and second motion signals, such that the first and second motion signals are in one-to-one correspondence. The method further comprises the step of extracting corresponding time intervals of the matching signals in the correspondences.
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公开(公告)号:US20210343413A1
公开(公告)日:2021-11-04
申请号:US17284612
申请日:2018-10-25
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Masahiro KUBO
IPC: G16H50/20 , G06F40/40 , G06F40/289 , G06F40/166
Abstract: A sentence extraction means extracts a sentence that is different from a cause or a coping method included in knowledge corresponding to a predetermined event and is related to the predetermined event, from an unconfirmed work record. A group selection means selects a group based on a similarity between a first character string of the extracted sentence that is likely to represent a cause or a coping method and a group generated in advance. A character string selection means selects a second character string from the group, and a replacement means replaces the first character string in the work record with the second character string. When a predetermined condition is satisfied, a knowledge generation means selects a character string from the group and generates new knowledge based on the character string.
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公开(公告)号:US20240249841A1
公开(公告)日:2024-07-25
申请号:US18419976
申请日:2024-01-23
Applicant: NEC Corporation
Inventor: Yuki KOSAKA
Abstract: An information processing device 100 of the present disclosure includes: an acquisition unit 121 that acquires a model that is generated for each elapsed period, and has learned by machine learning to output a measure for a human by receiving input of a plurality of types of feature value representing a condition of the human; a collection unit 122 that collects first output that is obtained when a predetermined number of types of feature value are input to the model of each elapsed period, and second output that is obtained when some types of feature value in the predetermined number of types of feature value are input to the model of each elapsed period; and a setting unit 123 that sets, on the basis of the first output and the second output, types to be associated with the model of each elapsed period. Thereby, the information processing device 100 can be used for assistance of decision-making by a user, or the like.
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9.
公开(公告)号:US20240054363A1
公开(公告)日:2024-02-15
申请号:US18382149
申请日:2023-10-20
Applicant: NEC Corporation
Inventor: Eiji YUMOTO , Masahiro HAYASHITANI , Takeshi HASEGAWA , Yuki KOSAKA
Abstract: In order to achieve an object to determine, with high accuracy, that a target is in a specific state, a state determination apparatus includes: a calculation section that calculates, on the basis of data obtained from the target, a score indicative of a degree to which the target is in the specific state; a decision section that decides a threshold on the basis of the data; and a determination section that determines, by comparing the score and the threshold, whether the target is in the specific state.
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公开(公告)号:US20230395259A1
公开(公告)日:2023-12-07
申请号:US18022728
申请日:2020-08-28
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Kenji Araki , Makoto Yasukawa
Abstract: An information processing apparatus 100 includes an input unit 121 and a generation unit 122. The input unit 121 receives input of a first assessment value representing assessment of a subject at a predetermined point of time and input of a second assessment value representing assessment of the subject after a predetermined time elapsed from the predetermined point of time. The first and second assessment values are values for each of an item of the Stroke Impairment Assessment Set (SIAS) and an item of a second index, different from the SIAS, for assessing the condition of a human body. The generation unit 122 generates a model for calculating the second assessment value with respect to the first assessment value for each item of the SIAS and the second index, on the basis of information representing a relationship between the item of the SIAS and the item of the second index.
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