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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| container_title | Neural computing & applications |
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| creator | Avram, Maria-Ruxandra Pop, Florin |
| description | 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. |
| doi_str_mv | 10.1007/s00521-021-06675-3 |
| format | Article |
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| identifier | ISSN: 0941-0643 |
| ispartof | Neural computing & applications, 2023-07, Vol.35 (19), p.13803-13822 |
| issn | 0941-0643 1433-3058 |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Artificial Intelligence Cloud computing Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Edge computing Feedback Haptics Heart rate Image Processing and Computer Vision Physical fitness Probability and Statistics in Computer Science Real time S.I.: IoT-based Health Monitoring System Smartwatches Social distancing Special Issue on Neural Computing for IOT based Intelligent Healthcare Systems Wearable computers Wrist |
| title | Real-time running workouts monitoring using Cloud–Edge computing |
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