Her main research interests are computer vision, pattern recognition, affective computing, and interdisciplinary research across computer science and art design.
Visual classification of facial pose is desirable for computer vision applications such as face recognition, human computer interaction, and affective computing.
Visual estimation of head pose is desirable for computer vision applications such as face recognition, human computer interaction, and affective computing.
All three are examples of an emerging approach to technology called affective computing, which aims to give computers the ability to read users' emotions, or "affect".
Add to the mix the potential for affective computing; the ability for a computer device to recognise your facial expression or predict your mood through your gestures or body pose and respond appropriately; increasingly sophisticated language recognition and speech production technologies, and this illusion of humanity will become even stronger.
Within the field of affective computing, human computer interaction is explored through computers that recognise, represent and respond appropriately to our emotional states.
Stress research is beneficial to our society with a range of benefits, motivating interest and posing technical challenges in computer science in general and affective computing in particular.
The demonstration showed off the latest in affective computing, a research field attempting to teach computers to understand and adapt to human emotion.
Much of this research and development is part of the emerging field of affective computing, which examines ways to create sensors and computers that can detect and respond to human emotions.
Recent research on affective computing opens the door to exploring the emotional aspects of computer aided tasks and HCI; however, there is little research in this area related to computer aided design (CAD).
