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Updated: Jul 19, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Activity recognition of assembly tasks using body-worn microphones and accelerometers

Jamie A Ward1, Paul Lukowicz, Gerhard Tröster

  • 1Swiss Federal Institute of Technology (ETH), Institute for Electronics, Zürich, Switzerland. ward@ife.ee.ethz.ch

IEEE Transactions on Pattern Analysis and Machine Intelligence
|September 22, 2006
PubMed
Summary

This study introduces a method for wearable computers to recognize manual tasks using sound and motion sensors. Continuous activity recognition achieved 78% recall and 74% precision in a workshop setting.

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