A Wrist-type Multi-physiological Signal Acquisition Device

DOI

10.2991/ifmca-16.2017.24How to use a DOI?

Keywords

Electrodermal activity, Heart rate, Ambient temperature, Motion detection, Wrist-type

Abstract

Affective Computing is computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. Emotion recognition based on affective computing is an important part of affective computing. Electrodermal activity signal and heart rate signal are important parameters of emotion recognition. In order to achieve these physiological parameters in a long-term and real time condition, a multi-physiologic signal acquisition and storage device is designed. The micro-control unit of the device adopts the low-power processing chip MSP430F5529 produced by Texas Instruments, and integrates electrodermal activity, heart rate, ambient temperature, and motion detection, which can realize wearable multi-parameter collaborative monitoring system design, providing a precise and reliable technology platform.

Copyright

© 2017, 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  - Xinwei Zhou
AU  - Xiaoyong Ji
AU  - Xinyu Chai
PY  - 2017/03
DA  - 2017/03
TI  - A Wrist-type Multi-physiological Signal Acquisition Device
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 150
EP  - 153
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.24
DO  - 10.2991/ifmca-16.2017.24
ID  - Zhou2017/03
ER  -