Recognizing Sports Exercises Using a Time of Flight Sensor and NanoEdge AI Studio

Explore a project that recognizes various sports movements like squats, shoulder lifts, and arm stretches using a Time-of-Flight sensor and NanoEdge AI Studio. Learn how to program a microcontroller to count exercise repetitions using an ST VL53L5CX 8x8 LiDAR sensor on an Arduino UNO R4. Discover the capabilities of NanoEdge AI Studio, a user-friendly platform for implementing AI on microcontrollers, including data logging, model training, and testing. Gain insights into a setup compatible with any Arm Cortex-M architecture microcontroller. Access resources to get started with NanoEdge AI Studio and explore the ST Edge AI suite for integrating artificial intelligence features in embedded systems, including STM32 microcontrollers, Stellar automotive microcontrollers, and MEMS smart sensors.

Recognizing Sports Exercises Using a Time of Flight Sensor and NanoEdge AI Studio