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» Hybrid Models for Human Motion Recognition
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GW
2005
Springer
129views Biometrics» more  GW 2005»
15 years 5 months ago
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, We...
APGV
2008
ACM
193views Visualization» more  APGV 2008»
15 years 1 months ago
Probing dynamic human facial action recognition from the other side of the mean
Insights from human perception of moving faces have the potential to provide interesting insights for technical animation systems as well as in the neural encoding of facial expre...
Cristóbal Curio, Martin A. Giese, Martin Br...
HUC
2011
Springer
13 years 11 months ago
Towards qualitative assessment of weight lifting exercises using body-worn sensors
Sports exercises are beneficial for general health and fitness. Some exercises such as weight lifting are particularly errorprone and using incorrect techniques can result in seri...
Eduardo Velloso, Andreas Bulling, Hans Gellersen
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
15 years 5 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
FGR
2006
IEEE
102views Biometrics» more  FGR 2006»
15 years 5 months ago
Robust Spotting of Key Gestures from Whole Body Motion Sequence
Robust gesture recognition in video requires segmentation of the meaningful gestures from a whole body gesture sequence. This is a challenging problem because it is not straightfo...
Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee