Probabilistic parsing of dietary activity events

Publication Type Conference Paper
Authors Oliver Amft, Martin Kusserow, Gerhard Tröster
Title Probabilistic parsing of dietary activity events
Abstract Dietary behaviour is an important lifestyle aspect and directly related to long-term health.We present an approach to detect eating and drinking intake cycles from body-worn sensors. Information derived from the sensors are considered as abstract activity events and a sequence modelling is applied utilising probabilistic context-free grammars. Different grammar models are discussed and applied to dietary intake evaluation data. The detection performance for different foods and food categories is reported. We show that the approach is a feasible strategy to segment dietary intake cycles and identify the food category.
Date March 2007
Proceedings Title BSN 2007: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Publisher Springer
Volume 13
Pages 242–247
DOI 10.1007/978-3-540-70994-7_41
Full Text PDF
Friedrich-Alexander-Universität Erlangen-Nürnberg