Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-2019
Abstract
We explore the use of personal ‘earable’ devices (widely used by gym-goers) in providing personalized, quantified insights and feedback to users performing gym exercises. As in-ear sensing by itself is often too weak to pick up exercise-driven motion dynamics, we propose a novel, low-cost system that can monitor multiple concurrent users by fusing data from (a) wireless earphones, equipped with inertial and physiological sensors and (b) inertial sensors attached to exercise equipment. We share preliminary findings from a small-scale study to demonstrate the promise of this approach, as well as identify open challenges.
Keywords
Gym Exercises, Personalized Coaching, Earable, IoT
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
EarComp '19: Proceedings of the 1st International Workshop on Earable Computing, London, September 9-10
First Page
42
Last Page
47
ISBN
9781450369022
Identifier
10.1145/3345615.3361132
Publisher
ACM
City or Country
New York
Citation
RADHAKRISHNAN, Meeralakshmi and MISRA, Archan.
Can earables support effective user engagement during weight-based gym exercises?. (2019). EarComp '19: Proceedings of the 1st International Workshop on Earable Computing, London, September 9-10. 42-47.
Available at: https://ink.library.smu.edu.sg/sis_research/4758
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3345615.3361132