José Luis Garrido

Wearable Sensors and MET Features: The importance of Preprocessing and Understanding the Data

This study investigates the impact of different preprocessing techniques on activity recognition accuracy, such as filtering the acceleration to obtain the feature ACCfil, and results indicate that incorporating features such as ACCfil, HRR, and ratio of unfiltered to filtered acceleration improves activity recognition accuracy in some cases.