Personalized face and gesture analysis using hierarchical neural networks
The video-based computational analyses of human face and gesture signals encompass a myriad of challenging research problems involving computer vision, machine learning and human computer interaction. In this thesis, we focus on the following challenges: a) the classification of hand and body gestur...
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| Language: | en_US |
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2019
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| Online Access: | https://hdl.handle.net/2144/34774 |