Activity recognition and nutrition monitoring in every day situations with a textile capacitive neckband

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

We build on previous work [5] that demonstrated, in simple isolated experiments, how head and neck related events (e.g. swallowing, head motion) can be detected using an unobtrusive, textile capacitive sensor integrated in a collar like neckband. We have now developed a 2nd generation 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. The neckband can be useful in a variety of applications such as cognitive disease monitoring and elderly care.

Original languageEnglish
Title of host publicationUbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing
Pages155-158
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 ACM Conference on Ubiquitous Computing, UbiComp 2013 - Zurich, Switzerland
Duration: 2013 Sept 82013 Sept 12

Publication series

NameUbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing

Other

Other2013 ACM Conference on Ubiquitous Computing, UbiComp 2013
Country/TerritorySwitzerland
CityZurich
Period13/9/813/9/12

Keywords

  • Activity recognition
  • Capacitive sensing
  • Nutrition monitoring
  • Wearable computing

ASJC Scopus subject areas

  • Software

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