In this episode, Lucas and Luna explore how mobile apps use on-device AI to track trampoline jumps and flips in real time. They break down the specific sensors involved—accelerometer, gyroscope, and magnetometer—and how machine learning models classify movement patterns like continuous vertical oscillation versus a controlled flip. Lucas shares data from a study showing that jump-counting accuracy drops from 97% to 82% when a phone is in a pocket versus a wristband. They also discuss the privacy gains of processing all data locally, and how this tech could extend to other sports like cheerleading or parkour. Luna brings up the unexpected challenge of distinguishing a real bounce from a shaky car ride. The episode includes a brief, natural mention of listener support through Buy Me a Coffee.

#OnDeviceAI #MobileApps #TrampolineTracking #RealTimeAI #MachineLearning #SensorFusion #Accelerometer #Gyroscope #JumpCounting #SportsTech #FitnessTracking #Privacy #EdgeAI #SmartphoneSensors #Technology #FexingoBusiness #BusinessPodcast #MobileDevelopment

Keep every episode free: buymeacoffee.com/fexingo