Symbiotic Interfaces for Wearable Face Recognition
Brad Singletary and Thad Starner
Proceedings of HCII2001 Workshop On Wearable Computing, New Orleans, LA, August 2000. to appear.
We introduce a wearable face detection method that exploits
constraints in face scale and orientation imposed by the proximity of
participants in near social interactions. Using this method we
describe a wearable system that perceives ``social engagement,'' i.e.,
when the wearer begins to interact with other individuals. One
possible application is improving the interfaces of portable consumer
electronics, such as cellular phones, to avoid interrupting the user
during face-to-face interactions. Our experimental system proved
$>90$\% accurate when tested on wearable video data captured at a
professional conference. Over three hundred individuals were captured,
and the data was separated into independent training and test sets. A
goal is to incorporate user interface in mobile machine recognition
systems to improve performance. The user may provide real-time
feedback to the system or may subtly cue the system through typical
daily activities, such as turning to face a speaker, as to when
conditions for recognition are favorable.
Keywords: context awareness face recognition wearable computing symbiotic interfaces
Postscript
Abstract
PDF
Request hardcopy
Back to technical reports