In this paper, we introduce a hand gesture recognition system to recognize continuous gesture before stationary background. The system consists of four modules: a real time hand tracking and extraction, feature extraction, hidden Markov model (HMM) training, and gesture recognition. First, we apply
โฆ LIBER โฆ
Speaker recognition using hidden Markov models, dynamic time warping and vector quantisation
โ Scribed by Yu, K.; Mason, J.; Oglesby, J.
- Book ID
- 114457451
- Publisher
- The Institution of Electrical Engineers
- Year
- 1995
- Tongue
- English
- Weight
- 725 KB
- Volume
- 142
- Category
- Article
- ISSN
- 1350-245X
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