Detection of eating and drinking arm gestures using inertial body-worn sensors

Authors:
Oliver Amft;Holger Junker;Gerhard Troster
Affiliations:
Wearable Computing Lab, ETH Zürich, Switzerland;Wearable Computing Lab, ETH Zürich, Switzerland;Wearable Computing Lab, ETH Zürich, Switzerland
Venue:
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Year:
2005

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Abstract

We propose a two-stage recognition system for detecting arm gestures related to human meal intake. Information retrieved from such a system can be used for automatic dietary monitoring in the domain of behavioural medicine. We demonstrate that arm gestures can be clustered and detected using inertial sensors. To validate our method, experimental results including 384 gestures from two subjects are presented. Using isolated discrimination based on HMMs an accuracy of 94% can be achieved. When spotting the gestures in continous movement data, an accuracy of up to 87% is reached.