Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Recognizing context for annotating a live life recording
| |
|
Original Article
Recognizing context for annotating a live life recording
Nicky Kern1 , Bernt Schiele1 and Albrecht Schmidt2 
| (1) |
Department of Computer Science, Darmstadt University of Technology, Darmstadt, Germany |
| (2) |
Embedded Interaction Research Group, Universität München, München, Germany |
Received: 30 October 2004 Accepted: 1 June 2005 Published online: 16 August 2006
Abstract In the near future, it will be possible to continuously record and store the entire audio–visual lifetime of a person together
with all digital information that the person perceives or creates. While the storage of this data will be possible soon, retrieval
and indexing into such large data sets are unsolved challenges. Since today’s retrieval cues seem insufficient we argue that
additional cues, obtained from body-worn sensors, make associative retrieval by humans possible. We present three approaches
to create such cues, each along with an experimental evaluation: the user’s physical activity from acceleration sensors, his
social environment from audio sensors, and his interruptibility from multiple sensors.
Keywords Context-awareness - Information retrieval - Sensing systems - Context recognition - Wearable computing
Fulltext Preview (Small, Large)
 References secured to subscribers.
|
|
|
|
|
|