상세정보
학술대회
Lightweight 2D Human Pose Estimation for Fitness Coaching System
- 발행일
- 202106
- 출처
- International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2021, pp.1-4
- 협약과제
- 21HS1500, 고령 사회에 대응하기 위한 실환경 휴먼케어 로봇 기술 개발, 이재연
- 초록
- In this paper, we describe lightweight 2D human pose estimation for a fitness coaching system. To achieve real-time inference speed on mobile devices, we propose the online pose distillation learning strategy that trains large teacher networks and small student networks simultaneously. The proposed lightweight model requires significantly lower computation as well as shows competitive pose estimation accuracy on the COCO keypoint detection dataset. In addition, the model was fine-tuned on a fitness dataset for the fitness coaching application where various fitness postures were accessed.
- KSP 제안 키워드
- Estimation accuracy, Human pose estimation, Keypoint Detection, Learning strategy, Lightweight model, Mobile devices, Real-time inference, teacher networks