A Biologically Inspired Human Posture Recognition System
نویسنده
چکیده
منابع مشابه
Posture Recognition Based on Slow Feature Analysis
Basic postures such as sit, stand and lie are ubiquitous in human interaction. In order to build robots that aid and support humans in their daily life, we need to understand how posture categories can be learned and recognized. This paper presents an unsupervised learning approach to posture recognition for a biped humanoid robot. The approach is based on Slow Feature Analysis (SFA), a biologi...
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