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SUMMARY:What's in the eyes for context-awareness? - Andreas Bulling\, ETH 
 Zurich
DTSTART:20091210T141500Z
DTEND:20091210T151500Z
UID:TALK21546@talks.cam.ac.uk
CONTACT:Shazia Afzal
DESCRIPTION:Context-awareness has emerged as a key area of research in ubi
 quitous computing and human-computer interaction. The context of a person 
 is typically defined as a combination of different personal and environmen
 tal aspects. To get at the personal context\, human physical activity is w
 idely considered to be one of the most important contextual cues. Importan
 t advances in activity recognition were achieved using sensing modalities 
 such as body movement and posture\, sound\, or interactions between people
 .\n\nA promising new source of information for context recognition is the 
 movement of the eyes. The movement patterns our eyes perform as we carry o
 ut specific activities reveal a lot about the activities themselves - inde
 pendently of what we are looking at. Because we use our eyes in almost eve
 rything that we do eye movements have the potential to provide useful info
 rmation for a variety of context recognition problems. Moreover\, eye move
 ments are linked to cognitive processes of visual perception\, such as att
 ention\, visual memory or learning. Inferring these processes from eye mov
 ements may allow us to extend the current notion of context with a yet mis
 sing cognitive dimension\, leading to so-called cognitive-aware systems. S
 uch systems are able to sense and react to the cognitive state of a person
  and enable novel types of human-computer interaction not possible today.\
 n\nThe development of sensors to track eye movements in daily life\, howev
 er\, is still an active topic of research. Mobile settings call for highly
  miniaturised\, low-power eye trackers with real-time processing capabilit
 ies. These requirements are increasingly addressed by commonly used video-
 based systems. However\, these systems still require bulky equipment and d
 emanding video processing. In contrast to video-based systems\, electroocu
 lography (EOG) is a cheap measurement technique for mobile eye movement re
 cordings. It is computationally light-weight and can be implemented as a w
 earable sensor.
LOCATION:Computer Laboratory\, William Gates Building\, Room SS03
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