Investigating barriers and facilitators to wearable adherence in fine-grained eating detection

Rawan Alharbi, Nilofar Vafaie, Kitty Liu, Kevin Moran, Gwendolyn Ledford, Angela Pfammatter, Bonnie Spring, Nabil Alshurafa

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

3 Scopus citations

Abstract

Energy balance is one component of weight management, but passive objective measures of caloric intake are non-existent. Given the recent success of actigraphy as a passive objective measure of the physical activity construct that relieves participants of the burden of biased self-report, computer scientists and engineers are aiming to find a passive objective measure of caloric intake. Passive sensing food intake systems have failed to go beyond the lab and into behavioral research in part due to low adherence to wearing passive monitoring systems. While system accuracy and battery lifetime are sine qua non to a successfully deployed technology, they come second to adherence, since a system does nothing if it remains unused. This paper focuses on adherence as affected by: 1) perceived data privacy; 2) stigma of wearing devices; 3) comfort. These factors highlight new challenges surrounding participant informed consent and Institutional Review Board (IRB) risk assessment. The wearables examined include neck- and wrist-worn sensors, and video camera-based systems. Findings support the potential for adherence using wrist- and shoulder-based video cameras, and personalized style-conscious neck-worn sensors. The feasibility of detecting fine-grained eating gestures to validate the machine learning models is shown, improving the potential of translation of this technology.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-412
Number of pages6
ISBN (Electronic)9781509043385
DOIs
StatePublished - May 2 2017
Event2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 - Kona, Big Island, United States
Duration: Mar 13 2017Mar 17 2017

Publication series

Name2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017

Other

Other2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
CountryUnited States
CityKona, Big Island
Period3/13/173/17/17

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Keywords

  • Adherence
  • Annotation
  • Camera
  • Eating Detection
  • Ground Truth
  • Obesity
  • Privacy
  • Sensors
  • Stigma
  • Wearables

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Alharbi, R., Vafaie, N., Liu, K., Moran, K., Ledford, G., Pfammatter, A., Spring, B., & Alshurafa, N. (2017). Investigating barriers and facilitators to wearable adherence in fine-grained eating detection. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 (pp. 407-412). [7917597] (2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2017.7917597