The nature of statistical learning theory
The nature of statistical learning theory
Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visualizing the pulse of a classroom
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
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This chapter addresses the problem of multimodal analysis of human face-to-face communication. This is imporant since in the near future, smart environments equipped with multiple sensory systems will be able to sense the presence of humans and assess recognize their behaviours, actions, and emotional states. The main goal of the presented study is to develop models of communicative/interactive events in multi-media (audio and video), suitable for the analysis and subsequent incorporation within virtual reality environments. Interactive, environmental, and emotional characteristics of the communicators are estimated in order to define the communication event as one entity. This is achieved by putting together results obtained in social sciences and multimedia signal processing under one umbrella - the communication atmosphere analysis. Experiments based on real life recordings support the approach.