Learning Swimming Techniques by Means of Real-Time Monitoring with Embedded Devices
Swimming is a highly effective activity for lifelong fitness, but learning as an adult can be challenging. This project introduces a dryland training method supported by embedded technology. Using MPU6050 sensors and ESP32 boards placed on key points of the body, the system analyzes simulated swimming movements, records performance, and provides accuracy feedback based on reference data.
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