@inproceedings{e279e12072bc4c4fb5e377a5d616c641,
title = "Sports Assistant: Similarity Calculation for Sports Activity",
abstract = "When participating in general sports activities, proper posture and movement are important to improve performance and prevent injury. In this paper, we propose a system to observe sports activity and calculate the difference between two people (for example, beginners and professional layers). The pose difference could help people improve their posture. The system consists of deep learning methods and similarity calculation. The deep learning method will detect human pose and output keyjoints. If the sport requires extra equipments, e.g. baseball bat, the system uses object detection to extract the keyjoints. Next, it calculates the pose similarity between two people. The developed system could help people know whether their posture is correct and which body parts could be improved.",
keywords = "object detection, pose estimation, pose matching",
author = "Wu, {Kun Ru} and Li, {Yi En} and Ding, {Yu Yang} and Tseng, {Yu Chee}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023 ; Conference date: 23-08-2023 Through 25-08-2023",
year = "2023",
doi = "10.1109/APWCS60142.2023.10234062",
language = "English",
series = "Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023",
address = "美國",
}