A machine learning system identifies dynamic gestures from accelerometer data.
problem Identifying dynamic gestures from accelerometer data.
method Machine learning approach using tri-axial acceleration data from uWave and Sony datasets.
result The system can classify gestures at varying speeds with minimal preprocessing and runs on a low-cost platform.