Name
Abstract | ||
|---|---|---|
ABSTRACTDespite 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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3469260.3469665 | MOBISYS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Morteza Mohammady Gharasuie | 1 | 0 | 0.34 |
| Noah Jennings | 2 | 0 | 0.34 |
| Shubham Jain | 3 | 14 | 6.84 |