Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
11-2020
Abstract
We present ERICA, a digital personal trainer for users performing free weights exercises, with two key differentiators: (a) First, unlike prior approaches that either require multiple on-body wearables or specialized infrastructural sensing, ERICA uses a single in-ear "earable" device (piggybacking on a form factor routinely used by millions of gym-goers) and a simple inertial sensor mounted on each weight equipment; (b) Second, unlike prior work that focuses primarily on quantifying a workout, ERICA additionally identifies a variety of fine-grained exercising mistakes and delivers real-time, in-situ corrective instructions. To achieve this, we (a) design a robust approach for user-equipment association that can handle multiple (even 15) concurrently exercising users; (b) develop a suite of statistical models to detect several commonplace repetition-level mistakes; and (c) experimentally study the efficacy of multiple in-situ corrective feedback strategies. Via an end-to-end evaluation of ERICA with 33 participants naturally performing 3 dumbbell-based exercises, we show that (a) ERICA identifies over 94% of mistakes during the first 5 repetitions of a set, (b) the resulting feedback is viewed favorably by 78% of users, and (c) the feedback is effective, reducing mistakes by 10+% during subsequent repetitions.
Keywords
smart gym, digital personal trainer, earables, free-weights exercises, Internet of things (IoT), personalized feedback
Discipline
Software Engineering | Sports Sciences
Research Areas
Software and Cyber-Physical Systems
Publication
Sensys '20: Proceedings of the 18th ACM Conference on Embedded Networked Sensor Systems, November 16-19, Yokohama, Japan, and Virtual
First Page
558
Last Page
571
ISBN
9781450375900
Identifier
10.1145/3384419.3430732
Publisher
ACM
City or Country
New York
Embargo Period
4-15-2021
Citation
RADHAKRISHNAN, Meeralakshmi; RATHNAYAKE, Darshana; ONG, Koon Han; HWANG, Inseok; and MISRA, Archan.
ERICA: Enabling real-time mistake detection and corrective feedback for free-weights exercises. (2020). Sensys '20: Proceedings of the 18th ACM Conference on Embedded Networked Sensor Systems, November 16-19, Yokohama, Japan, and Virtual. 558-571.
Available at: https://ink.library.smu.edu.sg/sis_research/5894
Copyright Owner and License
LARC and 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/10.1145/3384419.3430732