ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Human Motion Assessment on Mobile Devices
Cited 0 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
전호범, 김도형, 김재홍
발행일
202110
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1-4
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9621114
협약과제
21HS1500, 고령 사회에 대응하기 위한 실환경 휴먼케어 로봇 기술 개발, 이재연
초록
Human motion analysis is being performed in various places using various devices. However, the complexity of the analysis algorithms required by high-performance devices makes it difficult to run these algorithms anytime and anywhere. We have successfully ported a pose estimation model to mobile devices and applied various post-processing algorithms. Our analysis algorithm, which uses the joint coordinates of the pose estimation model, has both fast calculation speed and versatility. Our lightweight pose models and motion analysis algorithms allow users to analyze fitness actions and receive instant feedback in real time using their smartphones. Our motion assessment system is applied to real mobile devices and tested in the real world. Based on empirical research on real environments, our motion assessment system is shown to be applicable to various fields.
KSP 제안 키워드
Assessment system, Empirical research, Fast calculation, High performance, Instant feedback, Joint Coordinates, Mobile devices, Pose estimation, Post-Processing, Real-Time, Real-world