AMT 2014: Active Media Technology pp 347-358 | Cite as

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

  • Michał Meina
  • Bartosz Celmer
  • Krzysztof Rykaczewski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8610)

Abstract

This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on Dynamic Time Warping (DTW) on each acceleration axis. Ensemble method is proposed and comparative study is executed showing better and more stable results. Our scenario assumes that activity is recognized with very small latency. Results shows that hybrid approach is promising for activity reporting, i.e. different walking patterns, using of tools. The proposed solution is designed to be a part of decision support in fire and rescue actions at the fire ground.

Keywords

Activity Recognition Gesture Recognition Dynamic Time Warping Longe Common Subsequence Robust Framework 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Michał Meina
    • 1
    • 3
  • Bartosz Celmer
    • 2
  • Krzysztof Rykaczewski
    • 1
    • 3
  1. 1.Faculty of Mathematics, Informatics and MechanicsUniversity of WarsawWarsawPoland
  2. 2.Section of Computer ScienceThe Main School of Fire ServiceWarsawPoland
  3. 3.Faculty of Mathematics and Computer ScienceNicolaus Copernicus UniversityToruńPoland

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