Real-Time Paddle Stroke Classification and Wireless Monitoring in Open Water Using Wearable Inertial Nodes
This project introduces a low-cost wearable system for tracking and classifying paddle strokes in open-water conditions. Using ESP32 nodes with MPU6050 sensors and ESP-NOW communication, the system detects left and right paddle strokes through Dynamic Time Warping and sends real-time data—such as stroke type, count, and motion accuracy—to a local interface. Field tests on a lake showed reliable wireless communication beyond 100 m, over 80% classification accuracy, and more than 3 hours of battery life. The system demonstrates an effective solution for real-time motion tracking in water sports like paddleboarding, kayaking, and rowing.
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