SmartNecklace: Designing a wearable multi-sensor system for smart eating detection

Eli Cohen*, William Stogin, Haik Kalantarian, Angela F. Pfammatter, Bonnie Spring, Nabil Alshurafa

*Corresponding author for this work

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

Abstract

Characterizing eating behaviors to inform and prevent obesity requires nutritionists, behaviorists and interventionists to disrupt subjects' routine with questionnaires and unfamiliar eating environments. Such a disruption may be necessary as a means of self-reection, however, prevents researchers from capturing problematic eating behaviors in a free-living environment. An automated system alleviates many of these disruptions; however, success in automating sensing of eating habits has proven to be a challenge due to high within-subject variability in people's eating habits. Given a positive correlation between eating duration and caloric intake, along with the fact that many problematic eaters spend time alone, this paper presents a passive sensing system designed with the following three goals: Detecting eating episodes through data analytics of passive sensors, detecting time spent alone while eating, and designing a passive sensing system that people will adhere to wearing in the field, without disrupting regular activity or behavior. A real-time coarse multi-layered classification approach is proposed to detect challenging eating episodes with confounding factors using data from piezoelectric, audio, and inertial sensors. The system was tested on 7 participants with 14 eating episodes, resulting in an 80.8%, and 91.3% average F-measure for detection of eating and alone time, respectively. Additionally, results of a survey highlights the importance of user-customization to increase adherence to neck-worn sensors.

Original languageEnglish (US)
Title of host publicationBODYNETS 2016 - 11th International Conference on Body Area Networks
PublisherEAI
ISBN (Electronic)9781631901324
DOIs
StatePublished - Apr 24 2017
Event11th International Conference on Body Area Networks, BODYNETS 2016 - Turin, Italy
Duration: Dec 15 2016Dec 16 2016

Other

Other11th International Conference on Body Area Networks, BODYNETS 2016
CountryItaly
CityTurin
Period12/15/1612/16/16

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Keywords

  • Accelerometer
  • Alone
  • Audio
  • Eating detection
  • Passive sensing
  • Piezoelectric sensor
  • Wearables
  • Wireless

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Cohen, E., Stogin, W., Kalantarian, H., Pfammatter, A. F., Spring, B., & Alshurafa, N. (2017). SmartNecklace: Designing a wearable multi-sensor system for smart eating detection. In BODYNETS 2016 - 11th International Conference on Body Area Networks EAI. https://doi.org/10.4108/eai.15-12-2016.2267882