Towards Robust Framework for On-line Human Activity Reporting Using Accelerometer Readings

نویسندگان

  • Michal Meina
  • Bartosz Celmer
  • Krzysztof Rykaczewski
چکیده

This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on DTWs on each acceleration axis. Preliminary ensemble method is proposed and comparative study is executed showing better and more stable results.

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تاریخ انتشار 2014