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.

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Vu, Minh An, Nguyen, Duong Quy, Nguyen, Khanh Huyen, Nguyen, Tuan
Aineistotyyppi: Bài viết
Kieli:English
Julkaistu: Springer Nature 2024
Aiheet:
Linkit:https://elib.vku.udn.vn/handle/123456789/4268
https://https://doi.org/10.1007/978-3-031-74127-2_5
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
Thư viện lưu trữ: Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
id oai:elib.vku.udn.vn:123456789-4268
record_format dspace
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