AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping

Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 50-62.

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Hlavní autoři:	Vu, Minh An, Nguyen, Duong Quy, Nguyen, Khanh Huyen, Nguyen, Tuan
Médium:	Bài viết
Jazyk:	English
Vydáno:	Springer Nature 2024
Témata:	AI Fitness Trainer 3D Human
On-line přístup:	https://elib.vku.udn.vn/handle/123456789/4268 https://https://doi.org/10.1007/978-3-031-74127-2_5
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id	oai:elib.vku.udn.vn:123456789-4268
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spelling	oai:elib.vku.udn.vn:123456789-42682024-12-06T03:50:20Z AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping Vu, Minh An Nguyen, Duong Quy Nguyen, Khanh Huyen Nguyen, Tuan AI Fitness Trainer 3D Human Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 50-62. We present an approach that leverages 3D human pose estimation and dynamic time warping to evaluate fitness performance practically. To compare separate executions of the same movement from the user input video to our stock database of movement done by experts, user videos are converted to 3D skeletons. Important joint angles of users are manually defined to better match frame by frame to that of the expert with the incorporation of dynamic time warping. Experimental results indicate that our method for skeletal pose comparison achieves highly accurate and intuitive results while maintaining a dependable computation speed, making it well-suited for real-time movement analysis. This paper illustrates the human pose comparison and presents results of 3D skeleton motion analysis in actual user movement in sports, which we have made available along the source code to the research community at Human Pose Feedback System on GitHub. 2024-12-04T02:24:08Z 2024-12-04T02:24:08Z 2024-11 Working Paper 978-3-031-74126-5 https://elib.vku.udn.vn/handle/123456789/4268 https://https://doi.org/10.1007/978-3-031-74127-2_5 en application/pdf Springer Nature
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	AI Fitness Trainer 3D Human
spellingShingle	AI Fitness Trainer 3D Human Vu, Minh An Nguyen, Duong Quy Nguyen, Khanh Huyen Nguyen, Tuan AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
description	Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 50-62.
format	Working Paper
author	Vu, Minh An Nguyen, Duong Quy Nguyen, Khanh Huyen Nguyen, Tuan
author_facet	Vu, Minh An Nguyen, Duong Quy Nguyen, Khanh Huyen Nguyen, Tuan
author_sort	Vu, Minh An
title	AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
title_short	AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
title_full	AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
title_fullStr	AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
title_full_unstemmed	AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping
title_sort	ai fitness trainer using 3d human pose estimation and dynamic time warping
publisher	Springer Nature
publishDate	2024
url	https://elib.vku.udn.vn/handle/123456789/4268 https://https://doi.org/10.1007/978-3-031-74127-2_5
_version_	1849199893683372032

AI Fitness Trainer Using 3D Human Pose Estimation and Dynamic Time Warping

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