Real-time running workouts monitoring using Cloud–Edge computing
In a world of ever-growing technology where smartwatches are becoming more and more widespread, we introduced an application that can attach a personal running coach on one’s wrist. We developed a highly scalable model that takes input from real coaches, conveys it into a running training on a watch...
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Veröffentlicht in: | Neural computing & applications 2023-07, Vol.35 (19), p.13803-13822 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In a world of ever-growing technology where smartwatches are becoming more and more widespread, we introduced an application that can attach a personal running coach on one’s wrist. We developed a highly scalable model that takes input from real coaches, conveys it into a running training on a watch, analyzes the running performance, and gives real-time text and haptic feedback based on it. Using cloud technologies, we came up with a solution that provides end-to-end connectivity between a smartwatch and a coach or user. We empower people to track down their workouts and physical profiles easily and to connect with their trainers using a standard, interactive dashboard. The solution is presented in this paper. |
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ISSN: | 0941-0643 1433-3058 |
DOI: | 10.1007/s00521-021-06675-3 |