Personalized modeling of pressure recognition based on Heart Rate Variability

DOI

10.2991/icmse-18.2018.86How to use a DOI?

Keywords

stress；heart rate variability；time series；model fusion.

Abstract

Heart Rate Variability is the description of instant duration change between two linked heartbeat in a series of continuing ECG signal. It was found that it can be used to recognize people’s psychological stress. Characteristic parameters selecting and recognition model have becoming the kernel of study. This article introduced chaotic parameters of time series to be features used in stress recognition, and by the help of a proposed multi-model fusion pressure identification model, stress could be recognized more accuracy from the experiment results. And the recognition accuracy rate improved by 10%, and reached 84.5% and 89.6% on different data set respectively.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gang Zheng
AU  - Feng Zhang
AU  - Ying Sun
PY  - 2018/05
DA  - 2018/05
TI  - Personalized modeling of pressure recognition based on Heart Rate Variability
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 452
EP  - 458
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.86
DO  - 10.2991/icmse-18.2018.86
ID  - Zheng2018/05
ER  -