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학술대회 Intelligent Interaction System Capable of Autonomous Mobility for At-Home Workouts
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저자
노삼열, 이상백, 박지영
발행일
201910
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.653-657
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939887
협약과제
19HS4900, 디지털라이프를 위한 비접촉식 사용자 상태·의도 인지기반의 지능형 인터랙션 기술 개발, 박지영
초록
In this paper, we present an intelligent interaction system capable of autonomous mobility for at-home workouts. Whereas the current interaction systems for at-home workouts have had much difficulty in mobility, the presented system is able not only to assist people to work out at-home through the use of advanced deep learning technologies such as action recognition, human pose estimation, and bio-signal recognition but also to have autonomous mobility through the utilization of a mobile robot. To verify the system's feasibility with regard to intelligent interaction capable of autonomous mobility, we have conducted individual experiments for each module in the system such as mobile robot navigation, interfacing, unity contents visualization, action recognition, human pose estimation, bio-signal recognition, and human data generation.
키워드
Action recognition, at-home workout, autonomous navigation, bio-signal recognition, human pose estimation, interaction system, mobile robot navigation.
KSP 제안 키워드
Action recognition, Data generation, Human data, Human pose estimation, Intelligent interaction, Interaction system, Mobile Robot Navigation, autonomous navigation, bio-signal, deep learning(DL), learning technology