A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion

Human motion monitoring is important in applications of movies, animation, sport training, physical rehabilitation, and human-robot interaction. There is a demand for a simple and easy-to-use method to recognize motions of limbs and trunk. In this paper, we developed a wearable velocity tracking dev...

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Autores principales:	Junchang Zhang, Shiqiang Liu, Yuzhong Zhang, Rong Zhu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Human motion motions of limb and trunk feature extraction kinematic velocity track micro flow sensor wearable device Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/08386e7e796a441687d5643bc5fd5325
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id	oai:doaj.org-article:08386e7e796a441687d5643bc5fd5325
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spelling	oai:doaj.org-article:08386e7e796a441687d5643bc5fd53252021-11-19T00:04:18ZA Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion2169-353610.1109/ACCESS.2020.3006336https://doaj.org/article/08386e7e796a441687d5643bc5fd53252020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9130674/https://doaj.org/toc/2169-3536Human motion monitoring is important in applications of movies, animation, sport training, physical rehabilitation, and human-robot interaction. There is a demand for a simple and easy-to-use method to recognize motions of limbs and trunk. In this paper, we developed a wearable velocity tracking device using two orthogonally-placed micro flow sensors to implement three-dimensional motion velocity measurement. In addition, we proposed a functional link artificial neural network (FLANN) model to extract trunk velocity and relative limb velocity from an absolute limb motion detected by the wearable tracking device according to their different dynamic features. Experiments were conducted to validate the effectiveness of the velocity tracking methodology. Results showed the proposed method with wearable device enables real-time measurements of motion velocities of limb and trunk, which were free of accumulated error, robust for dynamic walking and running, and simple to use.Junchang ZhangShiqiang LiuYuzhong ZhangRong ZhuIEEEarticleHuman motionmotions of limb and trunkfeature extractionkinematic velocity trackmicro flow sensorwearable deviceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 120553-120561 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Human motion motions of limb and trunk feature extraction kinematic velocity track micro flow sensor wearable device Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Human motion motions of limb and trunk feature extraction kinematic velocity track micro flow sensor wearable device Electrical engineering. Electronics. Nuclear engineering TK1-9971 Junchang Zhang Shiqiang Liu Yuzhong Zhang Rong Zhu A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
description	Human motion monitoring is important in applications of movies, animation, sport training, physical rehabilitation, and human-robot interaction. There is a demand for a simple and easy-to-use method to recognize motions of limbs and trunk. In this paper, we developed a wearable velocity tracking device using two orthogonally-placed micro flow sensors to implement three-dimensional motion velocity measurement. In addition, we proposed a functional link artificial neural network (FLANN) model to extract trunk velocity and relative limb velocity from an absolute limb motion detected by the wearable tracking device according to their different dynamic features. Experiments were conducted to validate the effectiveness of the velocity tracking methodology. Results showed the proposed method with wearable device enables real-time measurements of motion velocities of limb and trunk, which were free of accumulated error, robust for dynamic walking and running, and simple to use.
format	article
author	Junchang Zhang Shiqiang Liu Yuzhong Zhang Rong Zhu
author_facet	Junchang Zhang Shiqiang Liu Yuzhong Zhang Rong Zhu
author_sort	Junchang Zhang
title	A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
title_short	A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
title_full	A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
title_fullStr	A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
title_full_unstemmed	A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion
title_sort	method to extract motion velocities of limb and trunk in human locomotion
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/08386e7e796a441687d5643bc5fd5325
work_keys_str_mv	AT junchangzhang amethodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT shiqiangliu amethodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT yuzhongzhang amethodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT rongzhu amethodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT junchangzhang methodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT shiqiangliu methodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT yuzhongzhang methodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion AT rongzhu methodtoextractmotionvelocitiesoflimbandtrunkinhumanlocomotion
_version_	1718420649237544960

A Method to Extract Motion Velocities of Limb and Trunk in Human Locomotion

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