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Automatic dietary monitoring using on-body sensors - Detection of eating and drinking behaviour in healthy individuals

Publication Type Book
Authors Oliver Amft
Title Automatic dietary monitoring using on-body sensors - Detection of eating and drinking behaviour in healthy individuals
Abstract Energy balance and healthy eating behaviour are essential aspects that determine health risks for chronic diseases and general morbidity. Long-term strategies are sought to prevent overweight and obesity. A sustained success in prevention is expected by supporting individuals in changing personal lifestyle and maintaining an appropriate eating behaviour. In this work a novel concept is introduced, called automatic dietary monitoring (ADM). ADM attempts to replace the error-prone manual reporting of eating behaviour that is currently used in diet coaching programs. ADM-based diet coaching solutions are supported by the constant trend in electronic miniaturisation, allowing to embed sensors and computers in everyday objects, including clothing, accessories, and buildings. Systems that leverage this potential of pervasive computing can support their user with personalised health status and diet coaching services. The essential functions of ADM-based solutions are sensing and recognition of the user's eating behaviour. This work evaluates on-body sensing and pattern recognition solutions for ADM.
Series Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 17780, 2008
Publisher ETH Zurich, Switzerland
Date 2008
ISBN 978-3-909386-77-2
URL Publisher's website
Library Catalog http://e-collection.library.ethz.ch/view/eth:30651
Extra ETH No. 17780
ISBN 978-3-909386-77-2
Full Text PDF