Remote motion capture protocol for transferring 3D motion data to remote locations in real time
Real-time remote 3D motion data transfer protocol
##article.authors##
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Shun Irie
Division for Smart Healthcare Research, Dokkyo Medical University
https://researchmap.jp/shun_irie
- Takashi Kobori Division for Smart Healthcare Research, Dokkyo Medical University
- Kazuki Sumi Division for Smart Healthcare Research, Dokkyo Medical University
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Atsumichi Tachibana
Depertment of Anatomy, Dokkyo Medical University
https://researchmap.jp/rc166
- Yihan Qian e-skin Business division, Xenoma Inc.
- Kaori Makifuji e-skin Business division, Xenoma Inc.
DOI:
https://doi.org/10.51094/jxiv.831Keywords:
remote motion capture, 3D motion data, telemedicineAbstract
The demand for telemedicine systems has increased following the COVID-19 pandemic. Conventional telemedicine systems provide video and acoustic transferring functions using smartphones and other communication systems. However, it is difficult to use conventional telemedicine systems in rehabilitation fields because they require real-time motion data from patients. Here, we suggest a novel system for transferring three-dimensional (3D) motion data to remote places in real time, which is named the “remote motion capture protocol (RMCP).” The RMCP runs on the conventional game engine and multiple operation systems, such as Windows, Mac OS, and Android. It can transfer the 3D motion data of users to remote locations with a delay of less than 500 ms using remote procedure calling. Additionally, any type of motion capture is available in this system if it is compatible with the conventional game engine. This technical note describes the basis of the system, sample applications, and usages of RMCP.
Conflicts of Interest Disclosure
Shun Irie received a grant donated by Dokkyo Medical University as research funding for studies conducted on the application of wearable e-textiles in healthcare fields from Xenoma Inc. on July 31, 2021.Downloads *Displays the aggregated results up to the previous day.
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Submitted: 2024-07-30 04:15:46 UTC
Published: 2024-08-02 00:59:04 UTC
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Copyright (c) 2024
Shun Irie
Takashi Kobori
Kazuki Sumi
Atsumichi Tachibana
Yihan Qian
Kaori Makifuji
This work is licensed under a Creative Commons Attribution 4.0 International License.
