Proximity-based active learning for eating moment recognition in wearable systems

Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh

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

Abstract

Detecting when eating occurs is an essential step toward automatic dietary monitoring, medication adherence assessment, and diet-related health interventions. Wearable technologies play a central role in designing unobtrusive diet monitoring solutions by leveraging machine learning algorithms that work on time-series sensor data to detect eating moments. While much research has been done on developing activity recognition and eating moment detection algorithms, the performance of the detection algorithms drops substantially when the model is utilized by a new user. To facilitate the development of personalized models, we propose PALS, Proximity-based Active Learning on Streaming data, a novel proximity-based model for recognizing eating gestures to significantly decrease the need for labeled data with new users. Our extensive analysis in both controlled and uncontrolled settings indicates F-score of PALS ranges from 22% to 39% for a budget that varies from 10 to 60 queries. Furthermore, compared to the state-of-the-art approaches, off-line PALS achieves up to 40% higher recall and 12% higher F-score in detecting eating gestures.

Original languageEnglish (US)
Title of host publicationWearSys 2020 - Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, Part of MobiSys 2020
PublisherAssociation for Computing Machinery, Inc
Pages7-12
Number of pages6
ISBN (Electronic)9781450380133
DOIs
StatePublished - Jun 19 2020
Externally publishedYes
Event6th ACM Workshop on Wearable Systems and Applications, WearSys 2020, Part of MobiSys 2020 - Toronto, Canada
Duration: Jun 19 2020 → …

Publication series

NameWearSys 2020 - Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, Part of MobiSys 2020

Conference

Conference6th ACM Workshop on Wearable Systems and Applications, WearSys 2020, Part of MobiSys 2020
Country/TerritoryCanada
CityToronto
Period6/19/20 → …

Keywords

  • active learning
  • eating detection
  • machine learning
  • mobile health
  • wearable computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

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