깊이 카메라를 이용한 트레드밀에서의 보행 분석 및 훈련 콘텐츠 연구

• 영문명: A Gait Analysis and Training Contents Based on Treadmill using Depth Camera
• 발행기관: 한국컴퓨터게임학회
• 저자명: 송기호(Ki Ho Song) 서종현(Jong Hyen Seo) 정성택(Sung Teak Chung)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제28권 3호, 27~34쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2015.09.30

영문 초록

In this paper, we developed a virtual reality-based contents that can gait analysis and gait training on a treadmill using a depth camera of Kinect. This content was used in the user's step length, step velocity, step count, flexion angle extracted by the Kinect skeleton tracking. Nine male subjects (24.9 years, 173.2cm) performed gait training using avatars to reflect their movements on the treadmill and confirmed result of gait analysis using real-time graphs to display their gait variables. Implemented contents can lead to a cognition reaction that is to avoid collisions with obstacles, as well as to determine the gait movements in a virtual reality. Based on these results, we will be able to make real time gait analysis and gait training, in consider the characteristics and safety of a rehabilitation patient by developing content that we have fun with additional tests for gait analysis.

목차

1. 서 론

2. 관련 연구

3. 본 론

4. 결과

5. 결론 및 향후 연구

감사의 글

참고문헌

키워드

Real-time Gait Analysis Gait Training Rehabilitation Contents Virtual Reality