In: Proceedings of the ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2020) located at UbiComp 2020 September 12-17 Virtual Mexico ACM 2020.
Abstract
This paper investigates the possibility of using soft smart textiles over the hair regions to detect chewing activities under episodes of snacking in a simulated scenario with everyday activities. The planar pressure textile sensors are used to perform mechanomyography of the temporalis muscles in the form of a cap. 10 participants contributed 30 recording sessions with time periods between 30 and 60 minutes. A frequency analysis method is developed to detect moments of snacking events with continuous sliding windows on 1-second time granularity. Our approach results in a baseline 80% accuracy, over 85% after outlier removal, and above 90% accuracy for some of the participants.
@inproceedings{pub11119,
author = {
Zhou, Bo
and
Lukowicz, Paul
},
title = {Snacap: Snacking Behavior Monitoring with SmartFabric Mechanomyography on the Temporalis},
booktitle = {Proceedings of the ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2020), located at UbiComp 2020, September 12-17, Virtual, Mexico},
year = {2020},
publisher = {ACM}
}
German Research Center for Artificial Intelligence Deutsches Forschungszentrum für Künstliche Intelligenz
