Hand posture recognition for human-robot interaction

Authors:
Tudor Ioan Cerlinca;Stefan Gheorghe Pentiuc;Radu Daniel Vatavu;Marius Cristian Cerlinca
Affiliations:
Universitatea "Stefan cel Mare" Suceava, Suceava, Romania;Universitatea "Stefan cel Mare" Suceava, Suceava, Romania;Universitatea "Stefan cel Mare" Suceava, Suceava, Romania;Universitatea "Stefan cel Mare" Suceava, Suceava, Romania
Venue:
Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction
Year:
2007

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Abstract

In this paper, we describe a fast and accurate method for hand posture recognition in video sequences using multiple video cameras. The technique we propose is based on the head detection, skin detection and human body proportions in order to recognize commands from real-time video sequences. Our technique is also a robust one in order to deal with changes of lighting. The experimental results show that it can be used in various vision-based applications that require real-time detection and recognition of hand posture.