Abstract
Building human-friendly robots which are able to interact and cooperate with humans has been an active research field in recent years. A major challenge in this field is to develop robots that can interact and cooperate with humans by understanding human communication modalities. Nonetheless, human face is a dynamic object and has a high degree of variability in its appearance, which makes face detection a difficult problem. In this paper, we present a real-time vision-based framework to detect human face and analysis of the human face direction in window area to interact with robot. A cascade of feature detectors trained with boosting technique has been employed. Experimental results using servo motors connect to SD21 and PIC16F887A microcontroller; and the MIABOT Pro have validated our approach. Our future work is to build an intelligent wheelchair whose motion can be controlled by the user’s face direction.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lam, M.C., Prabuwono, A.S., Arshad, H., Chan, C.S. (2011). A Real-Time Vision-Based Framework for Human-Robot Interaction. In: Badioze Zaman, H., et al. Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science, vol 7066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25191-7_25
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DOI: https://doi.org/10.1007/978-3-642-25191-7_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25190-0
Online ISBN: 978-3-642-25191-7
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