Author

Jingyuan Cheng, Bo Zhou, Kai Kunze, Carl Christian Rheinländer, Sebastian Wille, Norbert Wehn, Jens Weppner, Paul Lukowicz

Abstract

We build on previous work that demonstrated, in simple isolated experiments, how head and neck related events (e.g. swallowing, head motion) can be detected using and unobtrusive, textile capacitive sensor integrated in a collar like neckband. We have now developed a second generation of the band that allows long term recording in real life environments in conjunction with a low power Bluetooth enabled smart phone. It allows the system to move from the detection of individual swallows which is too unreliable for practical applications to an analysis of the statistical distribution of swallow frequency. Such an analysis allows the detection of ''nutrition events'' such as having lunch or breakfast. It also allows us to see the general level of activity and distinguish between just being absolutely quiet (no motion) and sleeping, as periodic ''empty swallows'' occur more seldom when a person is sleeping.   [Download]

BibTex

@inproceedings {Cheng:Activity:2013:7001,
	number = {}, 
	month = {}, 
	year = {2013}, 
	title = {Activity Recognition and Nutrition Monitoring in Every Day Situations with a Textile Capacitive Neckband}, 
	journal = {}, 
	volume = {}, 
	pages = {}, 
	publisher = {ACM}, 
	author = {Jingyuan Cheng, Bo Zhou, Kai Kunze, Carl Christian Rheinländer, Sebastian Wille, Norbert Wehn, Jens Weppner, Paul Lukowicz}, 
	keywords = {Activity recognition, nutrition monitoring, capacitive sensing, wearable computing}
}