Deep-learning-based human motion tracking for rehabilitation applications using 3D image features

Kai Yu Chen, Wei Zhong Zheng, Yu Yi Lin, Shih Tsang Tang, Li Wei Chou, Ying Hui Lai

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

Motion rehabilitation is increasingly required owing to an aging population and suffering of stroke, which means human motion analysis must be valued. Based on the concept mentioned above, a deep-learning-based system is proposed to track human motion based on three-dimensional (3D) images in this work; meanwhile, the features of traditional red green blue (RGB) images, known as two-dimensional (2D) images, were used as a comparison. The results indicate that 3D images have an advantage over 2D images due to the information of spatial relationships, which implies that the proposed system can be a potential technology for human motion analysis applications.

原文English
主出版物標題42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
主出版物子標題Enabling Innovative Technologies for Global Healthcare, EMBC 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面803-807
頁數5
ISBN(電子)9781728119908
DOIs
出版狀態Published - 7月 2020
事件42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
持續時間: 20 7月 202024 7月 2020

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2020-July
ISSN(列印)1557-170X

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
國家/地區Canada
城市Montreal
期間20/07/2024/07/20

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