Recognizing context for annotating a live life recording

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 person perceives or creates. While the storage of this data will be possible soon, retrieval and indexing into such large data sets is an unsolved challenge. Since today’s retrieval cues seem insufficient we argue that additional cues, obtained from bodyworn sensors, make associative retrieval by humans possible. We present three approaches to create such cues, each along with an experimental evaluation: the users physical activity from acceleration sensors, his social environment from audio, and his interruptability from multiple sensors. Keywords: Context-Awareness, Information Retrieval