상세검색
최근 검색어 전체 삭제
다국어입력
즐겨찾기0
156040.jpg
학술대회자료

키넥트를 이용한 인간 동작 시뮬레이션 인식 오류 개선

Reducing Recognition Error in Human Movement Simulation Using KINECT

  • 2

Kinect is widely used in many different fields such as manufacturing, health care, ergonomics and contents due to easiness of human body modeling in virtual reality with a low-priced depth sensor. In these fields, a higher standard of accuracy in motion recreation is required for more objective measurement. However, there are some errors such as abnormal output, inaccurate motion, and data losses owing to the performance limit of the equipped sensor. These errors have negative effects on data analysis and application as reducing similarity between real movements and simulation. This paper proposes a correction algorithm that calculates a new predicted coordinate value using previous coordinate values collected by Kinect when an error occurs in order to improve recognition accuracy in human motion simulation.

1. 서론

2. 실험 및 데이터 수집

3. 알고리즘

4. 결과 및 고찰

로딩중