Author
Abstract

<p>Despite numerous devices targeted to fitness tracking, the strength training domain has often been overlooked and understudied. In this paper, we propose a smartphone camera based approach to track users' strength training workouts, as well as metrics pertaining to their form and performance. Our goal is to detect the repetitions in a workout without requiring user intervention or any training data from the user. Unlike many existing systems, our proposed system is scalable, low-cost, and widely accessible. We gather data from two sources for 5 exercises across 25 subjects. We compute performance metrics such as range of motion, velocity, and duration from each repetition with median errors less than 10%. These results demonstrate that commercial off the shelf smartphone cameras can be used to accurately detect and count repetitions in user movements, as well as to compute rep-by-rep user performance.</p>

Year of Publication

2021
Conference Name

Proceedings of the Workshop on Body-Centric Computing Systems
Publisher

Association for Computing Machinery
Conference Location

New York, NY, USA
ISBN Number

9781450386005
URL

https://doi.org/10.1145/3469260.3469665
DOI

10.1145/3469260.3469665
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