@inproceedings{0c12eb79a9d041e39e4795391234c46b,
title = "Serial Skeletal Detection using a Kalman Filter in Combination with OpenPose",
abstract = "The use of OpenPose for gait analysis is highly anticipated as a cost-effective and easy-to-implement method. However, it can sometimes fail to accurately detect skeletal structures, limiting its ability to perform high-precision analysis. Therefore, in this paper, we propose a real-time correction method by combining OpenPose with the Kalman filter for sequential processing. We demonstrate the effectiveness of this approach by comparing the corrected knee joint angles with those obtained from 3D motion capture data.",
keywords = "Gait Analysis, Kalman Filter, OpenPose, Skeleton Detection, Video Processing",
author = "Sota Sugiyama and Masataka Yamamoto and Hiroshi Takemura and Naoyuki Aikawa",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 ; Conference date: 28-01-2024 Through 31-01-2024",
year = "2024",
doi = "10.1109/ICEIC61013.2024.10457122",
language = "English",
series = "2024 International Conference on Electronics, Information, and Communication, ICEIC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 International Conference on Electronics, Information, and Communication, ICEIC 2024",
}