Supervisor: Prof Peter McOwan
Research group(s): Cognitive Science
Social signal processing is an increasingly important element of design for affective computing applications. This project will look at developing and testing a software system that controls the configuration of a desktop storage unit depending on the expressions, engagement and gestures of the user, fused with other contextual data about the user and their environment. For example if the user is looking tired ( detected visually ) after a long day ( this is known as users diary of appointments is assessed) the system detects this user state and context and the drawer on the desktop opens to reveal the user MP3 players ready for a relaxing session. The project will develop students mathematical, programming, psychology and experimental skills.