cs.tamu.edu, 979.845.2942
The goal of my research is to develop systems that sense, interact with, learn from and adapt to the environment under a number of modalities, including chemical, acoustic, visual, temporal and spatial. In the context of interface ecology, our interests focus on the combined use of pattern recognition models and sensors (e.g., physiological, audio, video) to understand what people do, model their experiences and associated states, and support affective multimodal interaction.