Wearable Hand Activity Recognition for Event Summarization

Abstract

In this paper we develop a first step towards the recognition of hand activity by detecting objects subject to manipulation, and use the results to build a visual summary of events. The motivation is to extract information from hand activity without requiring that the wearer is explicit as in gesture-based interaction. Our method uses simple image measurements within a probabilistic framework and allows real-time implementation.

Bibtex entry.

Attachments

• mayolmurray_tracked_manipulation.mpg  Hand tracking and activity detection. Square indicates centre of attention directed by skin image

Contact details

• Homepage of Walterio Mayol-Cuevas

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