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.
My Menu
Saved Items

Original Article

Recognizing context for annotating a live life recording

Nicky KernContact Information, Bernt SchieleContact Information and Albrecht SchmidtContact Information

(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


Contact Information Nicky Kern (Corresponding author)
Email: kern@mis.tu-darmstadt.de

Contact Information Bernt Schiele
Email: schiele@mis.tu-darmstadt.de

Contact Information Albrecht Schmidt
Email: albrecht.schmidt@acm.org

Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this article
Export this article as RIS | Text
 
Referenced by
2 newer articles

  1. Petrelli, Daniela (2010) Family memories in the home: contrasting physical and digital mementos. Personal and Ubiquitous Computing
    [CrossRef]
  2. Győrbíró, Norbert (2008) An Activity Recognition System For Mobile Phones. Mobile Networks and Applications
    [CrossRef]
Remote Address: 38.107.191.111 • Server: mpweb03
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)