Media Informatics Group

We propose to use wearable sensors and computer sys-tems to generate personal contextual annotations in audio-visual recordings of a person’s life. In this pa-per we argue that such annotations are essential and effective to allow retrieval of relevant information from large audio-visual databases. The paper summarizes work on automatically annotating meeting recordings, extracting context from body-worn acceleration sensors alone, and combining context from three different sen-sors (acceleration, audio, location) for estimating the interruptability of the user. These first experimental results indicate, that it is possible to automatically find useful annotations for a lifetime’s recording and dis-cusses what can be reached with certain sensors and sensor configurations