This paper is in the following e-collection/theme issue:

Design and Usability of Consumer Health Tech and Home Monitoring Devices (218) Wearable Devices and Sensors (889) Digital Biomarkers and Digital Phenotyping (191) Machine Learning (1465) Artificial Intelligence (1371)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42714, first published .
Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study

Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study

Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study

Authors of this article:

Chrisogonas Odero Odhiambo1 Author Orcid Image ;   Lukacs Ablonczy2 Author Orcid Image ;   Pamela J Wright3 Author Orcid Image ;   Cynthia F Corbett3 Author Orcid Image ;   Sydney Reichardt2 Author Orcid Image ;   Homayoun Valafar1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Chrisogonas Odero Odhiambo   1 * , BSc, MS, PhD ;   Lukacs Ablonczy   2 * , BSc ;   Pamela J Wright   3 * , CEN, RN, MS, MEd, PhD ;   Cynthia F Corbett   3 * , RN, PhD ;   Sydney Reichardt   2 * ;   Homayoun Valafar   1 * , BSc, MS, PhD

1 Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States

2 Honors College, University of South Carolina, Columbia, SC, United States

3 Advancing Chronic Care Outcomes through Research and iNnovation Center, College of Nursing, University of South Carolina, Columbia, SC, United States

*all authors contributed equally

Corresponding Author:

  • Homayoun Valafar, BSc, MS, PhD
  • Department of Computer Science and Engineering
  • University of South Carolina
  • 315 Main Street
  • Columbia, SC, 29208
  • United States
  • Phone: 1 8037774046
  • Email: homayoun@cec.sc.edu