Human-centered computing focuses on all aspects of integrating the human/user within the computational loop of Artificial Intelligence (AI) systems. I am currently interested in developing applications that can analyze humans to make informed decisions (Human Behavior Understanding), and interactively employ implicit human signals (eye movements, EEG/MEG responses) for feedback.

In my talk, I will first present my research on analyzing human behavior from free-standing conversational groups, and the associated problems of head pose estimation and F-formation detection from low-resolution images. Then, I will also describe my studies on emotional perception using eye movements and brain signals.

Ramanathan Subramanian is a Research Scientist at the Advanced Digital Sciences Center (ADSC). Previously, he has served as a post-doctoral researcher at the Dept. of Information Engineering and Computer Science, University of Trento, Italy and the School of Computing, NUS. His research interests span Human-computer Interaction, Human-behavior understanding, Computer Vision and Computational Social sciences. He is especially interested in studying and modelling various aspects of human visual and emotional perception. His research has contributed to a number of behavioral databases including the prominent NUSEF (eye-fixation), DPOSE (dynamic head pose) and DECAF (Decoding affective multimedia from MEG brain responses) datasets.