A Sensing-based framework for medication compliance monitoring

Murtadha Aldeer, Musaab Alaziz, Jorge Ortiz, Richard E. Howard, Richard P. Martin

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

8 Scopus citations

Abstract

Medication compliance is challenging to monitor and identify because of their complex nature that is significantly influenced by the patient's behavior. Medication compliance monitoring systems are fundamental contributions to the connected health paradigm. In this paper, we propose a compliance sensing framework that does not require on-body sensing modalities or costly installation and maintenance. It uses a smart pill-bottle that utilizes Inertial Measurement Units (IMUs) and machine learning approaches for activity classification. The IMUs collect data about user behavior while taking medication. The collected signals are subject to pre-processing, from which features can be extracted for activity detection algorithms. Our initial results show promise in correctly discriminating medication-Taking 90 % of the time compare to only moving the bottle.

Original languageEnglish (US)
Title of host publicationDFHS 2019 - Proceedings of the 1st ACM Workshop on Device-Free Human Sensing
PublisherAssociation for Computing Machinery, Inc
Pages52-56
Number of pages5
ISBN (Electronic)9781450370073
DOIs
StatePublished - Nov 10 2019
Event1st ACM Workshop on Device-Free Human Sensing, DFHS 2019, co-located with ACM Buildsys 2019 - New York, United States
Duration: Nov 10 2019 → …

Publication series

NameDFHS 2019 - Proceedings of the 1st ACM Workshop on Device-Free Human Sensing

Conference

Conference1st ACM Workshop on Device-Free Human Sensing, DFHS 2019, co-located with ACM Buildsys 2019
Country/TerritoryUnited States
CityNew York
Period11/10/19 → …

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software
  • Computer Science Applications

Keywords

  • Medication compliance
  • Sensing framework
  • Smart pill-bottle

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