Abstract
In this paper, we develop a system to track and recognize hand motion in nearly real time. An important application of this system is to simulate mouse as a visual inputting device. Tracking approach is based on Condensation algorithm, and active shape model. Our contribution is combining multi-modal templates to increase the tracking performance. Weighting value is given to the sampling ratio of Condensation by applying the prior property of the templates. The recognition approach is based on HMM. Experiments show our system is very promising to work as an auxiliary inputting device.
This work is funded by research grants from the NSFC (No.69805005) and the 973 research project (G1998030500).
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Hu, C., Liang, L., Ma, S., Lu, H. (2000). Virtual Mouse—Inputting Device by Hand Gesture Tracking and Recognition. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_12
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DOI: https://doi.org/10.1007/3-540-40063-X_12
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