A. D. Wilson and A. Bobick, "Using Configuration States for the Representation and Recognition of Gesture", Tech. Rep. Technical Report No. 308, M.I.T. Media Laboratory, Cambridge, MA, June 1995. Home/Search Document Details and Download
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Recognition of Space-Time Hand-Gestures using Hidden Markov Model - Nam, Wohn (1996) (15 citations) (Correct)
....discussed the path analysis by feature finding, and temporal integration of several hand gesture attributes. Since these feature based approaches extract some low level features from the raw data and the classification is done by analyzing them, finding the proper feature set is important. Wilson[11] employed the concepts of fuzzy configuration states to handle the repeatability and time scale variability of gesture. Independent from our work, Starner[14] has recently proposed the HMM based recognition method, which is similar to ours. Since different attributes of a hand gesture are all ....
A. Wilson and A. Bobick, "Using Configuration States for the Representation and Recognition of Gesture," MIT Media Laboratory, Perceptual Computing Section, Technical Report No. 308, 1995.
Model-Based Motion Filtering for Improving Arm Gesture.. - Schmidt, House (Correct)
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A. D. Wilson and A. Bobick, "Using Configuration States for the Representation and Recognition of Gesture", Tech. Rep. Technical Report No. 308, M.I.T. Media Laboratory, Cambridge, MA, June 1995.
Learning-Based Vision and Its Application to Autonomous Indoor.. - Chen (1998) (Correct)
No context found.
A. Wilson and A. F. Bobick, "Using configuration states for representation and recognition of gesture", MIT Media Lab Perceptual Computing Section Technical Report, No. 308, 1995.
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