상세정보
학술대회
Classification of lower extremity motions for exoskeleton robot control
- 발행일
- 202210
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2160-2162
- 협약과제
- 22HS6200, 운동능력 강화 자율 소프트슈트 기술 개발, 이동우
- 초록
- in this paper, an algorithm for classifying human lower extremity movements was proposed and developed for the control of exoskeleton robots. The developed algorithm converts the movements of the knee and hip joints into two-dimensional data and classifies them into motions such as walking, running, and sitting. As a result of the experiment, it showed the highest performance when the movements of the knee and hip joints were judged at the same time, and the performance level was maintained even when the input size was reduced for real-time performance. The developed algorithm is expected to be installed in an exoskeleton robot operating in real time in the future.
- KSP 제안 키워드
- Hip joints, Lower extremity, Performance levels, Real-time performance, Robot Control, Two-dimensional data, exoskeleton robot, two-dimensional(2D)