A novel set of features for continuous hand gesture recognition

Author:

Bhuyan M. K.,Ajay Kumar D.,MacDorman Karl F.,Iwahori Yuji

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Signal Processing

Reference14 articles.

1. Segouat J, Braffort A (2010) Toward modeling sign language coarticulation. Lecture Notes in Computer Science (Gesture in Embodied Communication and Human–Computer Interaction), vol 5934, pp 325–336

2. Yang R, Sarkar S (2006) Detecting coarticulation in sign language using conditional random fields. In: 18th international conference on pattern recognition (ICPR), vol 2, pp 108–112

3. Eisenstein J, Davis R (2005) Gestural Cues for Sentence Segmentation. Technical report, MIT AI Memo, pp 1–14

4. Lee HK, Kim JH (1999) An HMM-based threshold model approach for gesture recognition. IEEE Trans Pattern Anal Mach Intell 21(2):961–972

5. Bhuyan MK, Bora PK, Ghosh D (2011) An integrated approach to the recognition of a wide class of continuous hand gestures. Int J Pattern Recognit Artif Intell 25(2):227–252

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