ML tool to analyse product usage data from accelerometer and gyroscope sensor data
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This project provides a machine learning tool that automatically classifies user behavior from accelerometer and gyroscope sensor data. It is designed for product designers and researchers who need to efficiently analyze real-world usage patterns from physical prototypes, moving beyond tedious manual review of raw sensor streams. The tool transforms complex motion data into actionable insights for design iteration.