Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

In order to design the perception system of the lower limb wearable rehabilitation robot, this study established the kinematics theoretical model of human lower limb and conducted the kinematics analysis of human body. By using the dynamic attitude analysis system, combined with the human body mark...

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Main Authors: Jiang Yi, Yuepei Zou
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2021/6302991
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spelling doaj-c6aec340b3fb4da980eefbb7673ed5192021-10-11T00:40:13ZengHindawi LimitedJournal of Healthcare Engineering2040-23092021-01-01202110.1155/2021/6302991Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable SensorsJiang Yi0Yuepei Zou1Institute of Education Beijing Sports UniversityDepartment of Physical Education and Sport Sciences (Main Campus)In order to design the perception system of the lower limb wearable rehabilitation robot, this study established the kinematics theoretical model of human lower limb and conducted the kinematics analysis of human body. By using the dynamic attitude analysis system, combined with the human body mark points, the position data of human body mark points in the process of standing up, sitting up, walking, stepping up, and squatting were collected. Combined with the movement mechanism of human lower limbs, the characteristics of human motion state transition are analyzed, and the perceptual algorithm for judging human motion intention is studied, so as to determine the wearer’s current posture, standing intention while sitting, walking intention while standing, moving intention, and stopping intention during walking. The results show that the angle of the hip joint changes regularly between 0° and 37° and the angle of the knee joint changes regularly between 0° and 70°during the standing process, which is consistent with the angle change trajectory collected by the dynamic attitude analysis system. The angle trajectories of the hip and knee joints measured by the absolute angle sensor are the same as those obtained by the dynamic attitude analysis system. 1.5 rad and 0.3 rad were selected as reasonable and effective thresholds for determining sitting and standing states.http://dx.doi.org/10.1155/2021/6302991
collection DOAJ
language English
format Article
sources DOAJ
author Jiang Yi
Yuepei Zou
spellingShingle Jiang Yi
Yuepei Zou
Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
Journal of Healthcare Engineering
author_facet Jiang Yi
Yuepei Zou
author_sort Jiang Yi
title Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
title_short Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
title_full Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
title_fullStr Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
title_full_unstemmed Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors
title_sort health index monitoring of sports injury rehabilitation training based on wearable sensors
publisher Hindawi Limited
series Journal of Healthcare Engineering
issn 2040-2309
publishDate 2021-01-01
description In order to design the perception system of the lower limb wearable rehabilitation robot, this study established the kinematics theoretical model of human lower limb and conducted the kinematics analysis of human body. By using the dynamic attitude analysis system, combined with the human body mark points, the position data of human body mark points in the process of standing up, sitting up, walking, stepping up, and squatting were collected. Combined with the movement mechanism of human lower limbs, the characteristics of human motion state transition are analyzed, and the perceptual algorithm for judging human motion intention is studied, so as to determine the wearer’s current posture, standing intention while sitting, walking intention while standing, moving intention, and stopping intention during walking. The results show that the angle of the hip joint changes regularly between 0° and 37° and the angle of the knee joint changes regularly between 0° and 70°during the standing process, which is consistent with the angle change trajectory collected by the dynamic attitude analysis system. The angle trajectories of the hip and knee joints measured by the absolute angle sensor are the same as those obtained by the dynamic attitude analysis system. 1.5 rad and 0.3 rad were selected as reasonable and effective thresholds for determining sitting and standing states.
url http://dx.doi.org/10.1155/2021/6302991
work_keys_str_mv AT jiangyi healthindexmonitoringofsportsinjuryrehabilitationtrainingbasedonwearablesensors
AT yuepeizou healthindexmonitoringofsportsinjuryrehabilitationtrainingbasedonwearablesensors
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