Human Arm-Motion Classification Using Qualitative Normalised Templates

Abstract. This paper proposes an approach to classify human arm motion using qualitative normalized templates. The proposed method consists of construction of human arm model, qualitative representation of prior knowledge of human arm motion and a search algorithm. First, convention robotic model is employed to build up a generic vision model for a human arm; Secondly, qualitative robotic model in [1] is used to construct qualitative normalised templates; Finally a search algorithm is provided to match the vision model with the templates in image frames. Experimental evaluation demonstrates that the proposed method is effective for the classification of human-arm motion. Future work will focus on extending the proposed method to the classification of a full humanbody motion.

• Type: Journal
• Year: 2006
• Where: KES
• Authors: Chee Seng Chan, Honghai Liu, David J. Brown
• Keywords: Human Arm, Human Arm Motion, Information Technology, KES 2006, Model