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

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Dynamic detection of window starting positions and its implementation within an activity recognition framework.

Qin Ni1, Timothy Patterson2, Ian Cleland2

  • 1Department of Telematic and Electronic Engineering, Universidad Politécnica de Madrid, Spain.

Journal of Biomedical Informatics
|July 10, 2016
PubMed
Summary

Robust activity recognition for real-world deployment remains a challenge. This study introduces a novel online change detection method to dynamically identify activity start times, improving real-time performance.

Keywords:
Activities of Daily Living (ADLs)Activity recognitionChange detectionData segmentationFeature selection

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