Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition

Journal of Healthcare Engineering
Magdalena Smoleń

Abstract

The aim of this paper is to choose the optimal motion sensor for the selected human activity recognition. In the described studies, different human motion measurement methods are used simultaneously such as optoelectronics, video, electromyographic, accelerometric, and pressure sensors. Several analyses of activity recognition were performed: recognition correctness for all activities together, matrices of the recognition errors of the individual activities for all volunteers for the individual sensors, and recognition correctness of all activities for each volunteer and each sensor. The experiments enabled to find a range of interchangeability and to choose the most appropriate sensor for recognition of the selected motion.

References

Jun 20, 2003·IEEE Transactions on Bio-medical Engineering·Bijan NajafiPhilippe Robert
Jan 15, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Lin ShuXiaoming Tao
Nov 19, 2017·Computers in Biology and Medicine·Piotr Augustyniak, Grażyna Ślusarczyk

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Citations

Sep 19, 2020·Sensors·Magdalena Smoleń, Piotr Augustyniak

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Software Mentioned

MegaWin
MATLAB
NDI First Principles
Parologg

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