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.
CITATION STYLE
Radhakrishnan, M., & Misra, A. (2019). Can Earables Support Effective User Engagement during Weight-Based Gym Exercises? In Proceedings of the 1st International Workshop on Earable Computing, EarComp 2019 (pp. 42–47). Association for Computing Machinery, Inc. https://doi.org/10.1145/3345615.3361132
Mendeley helps you to discover research relevant for your work.