Abstract
In this paper, we propose a system that facilitates the two dimension user-input as general mouse device for controlling applications. The method is based on hand movement analysis by applying image processing technique. The Haar-like with a cascade of boost classifiers is applied for hand detection, and then tracked with skin color using CamShift. Extracted hand features are computed and used for recognizing commands via a finite state machine. We evaluated the performance of system under real time constraint in real environment with demonstration application.
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Silanon, K., Suvonvorn, N. (2011). Real Time Hand Tracking as a User Input Device. In: Theeramunkong, T., Kunifuji, S., Sornlertlamvanich, V., Nattee, C. (eds) Knowledge, Information, and Creativity Support Systems. Lecture Notes in Computer Science(), vol 6746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24788-0_17
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DOI: https://doi.org/10.1007/978-3-642-24788-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24787-3
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