P. Neves

A window-level benchmark study on triaxial smartphone sensor fusion for human activity recognition using classical machine learning

Human Activity Recognition using smartphone sensors supports applications in health monitoring, context-aware computing, and activity assessment. This study evaluates a fused accelerometer, magnetometer, and gyroscope representation for smartphone-based Human Activity Recognition. A balanced processed benchmark conta...