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Pre-Processing Effect on the Accuracy of Event-Based Activity Segmentation and Classification through Inertial

Benish Fida1, Ivan Bernabucci2, Daniele Bibbo3

  • 1Department of Engineering, University of Roma Tre, Via Vito Volterra, 62, Rome 00146, Italy. fida.benish@uniroma3.it.

Sensors (Basel, Switzerland)
|September 18, 2015
PubMed
Summary

This study shows that pre-processing inertial sensor data for activity recognition, like gait cycles, does not significantly improve accuracy. This suggests reducing pre-processing can enable efficient real-time physical activity monitoring.

Keywords:
classificationdynamic segmentationgait event detectioninertial measurement unitphysical activitypre-processing

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