Design of Wearable Device as a Fatigue Detector in Sports Activities Based on the Internet of Things

Exercise is crucial for a healthy lifestyle, but excessive fatigue can negatively impact health and performance. Detecting fatigue signals can protect against injury and improve exercise intensity. A wearable device using the MAX30102 sensor provides real-time heart rate monitoring through a smartphone application. It alerts users when fatigue is detected, calculates THRMax using the Karvonen Method, and warns if BPM readings exceed a set threshold. The MAX30102 is reliable in detecting fatigue wearables, with a small margin of error of 1.06%-6.81% compared to a conventional pulse oximeter. Data sent to Google Sheets was successfully transmitted at 100<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>, with slight delays in the sending interval. The device maintains low error margins, accurately detecting THRMax and fatigue alerts, and can achieve a good success rate during running. This study confirms the practical applicability of IoT -based wearable technology in real-life exercise monitoring, correct fatigue detection, and timely feedback for optimizing and ensuring athletic performance safety.