Applying Machine Learning Capabilities to Wearable IoT Devices for Boxing Technique Management

Explore the application of machine learning algorithms on wearable IoT devices for boxing technique management in this 30-minute conference talk from EuroPython 2022. Delve into the exciting possibilities offered by advanced IoT devices with increased computational power and multiple sensors. Follow the presenter's journey of using an Arduino Nano 33 BLE Sense configured with TensorFlow Lite to analyze motion sensor data for boxing training. Learn about the entire analytical process, from problem and data analysis to algorithm training and deployment. Gain insights into boxing concepts and their modeling in an IoT context. Access provided code repositories and slide deck for further exploration of this innovative intersection of wearable technology, machine learning, and sports performance analysis.

Applying machine learning capabilities to wearable IoT devices - presented by Anthony I. Joseph