Learn More
—Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. Although the benefit of audiovisual fusion is expected for affect recognition from the psychological and engineering perspectives, most of existing approaches to automatic human affect analysis are uni-modal: information processed(More)
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing algorithm that uses audio and visual sensors to detect and track a user's affective state to aid computer decision making. Using our Multi-stream Fused Hidden Markov Model(More)
The ability of a computer to detect and appropriately respond to changes in a user's affective state has significant implications to Human−Computer Interaction (HCI). To more accurately simulate the human ability to assess affects through multi−sensory data, automatic affect recognition should also make use of multimodal data. In this paper, we present our(More)
—The ability of a computer to detect and appropriately respond to changes in a user's affective state has significant implications to Human–Computer Interaction (HCI). In this paper, we present our efforts toward audio–visual affect recognition on 11 affective states customized for HCI application (four cognitive/motivational and seven basic affective(More)
  • 1