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Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 36 |
| Year of Publication: 2020 |
| Authors: Rana J. Mohammed, Ali F. Marhoon, Ammar J. Moslem |
10.5120/ijca2020919862
|
Rana J. Mohammed, Ali F. Marhoon, Ammar J. Moslem . Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System. International Journal of Computer Applications. 177, 36 ( Feb 2020), 29-32. DOI=10.5120/ijca2020919862
Abstract
Wearable devices and sensors are becoming more readily available to the general public and athletic teams. Technology advances have allowed individual athletes, sport teams, and clinicians to monitor functional activities, workloads, and biometric parameters to optimize performance and mitigate injury. The aim of this paper is to present an automatic monitoring system for the athlete player using open –source hardware platforms, Node MCU ESP32, Raspberry pi and sensors to measure heart rate, temperature, and rotary encoder sensor with router Wi-Fi and Message Queuing Telemetry(MQTT) protocol to store data in the database.The system is low-cost and more expandable in terms of sensors type and number of sensor nodes, which makes it suitable to measure the performance of athletes where coaches were able to obtain data on a scale for efficiency of the athlete and weaknesses to overcome them.
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