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

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939) Human Factors and Usability Case Studies (787) Usability of Apps and User Perceptions of mHealth (974) Design and Formative Evaluation of Mobile Apps (694) Wearable Devices and Sensors (888) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 6, No 1 (2018): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8115, first published .
A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift

Authors of this article:

Martin Aidan O'Reilly1, 2 Author Orcid Image ;   Patrick Slevin1, 2 Author Orcid Image ;   Tomas Ward3, 4 Author Orcid Image ;   Brian Caulfield1, 2 Author Orcid Image
Article Authors Cited by (16) Tweetations (27) Metrics

Martin Aidan O'Reilly   1, 2 , PhD, BEng (Hons) ;   Patrick Slevin   1, 2 , MSc ;   Tomas Ward   3, 4 , PhD ;   Brian Caulfield   1, 2 , PhD

1 Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland

2 School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland

3 Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland

4 School of Computing, Dublin City University, Dublin, Ireland

Corresponding Author: