A Wrist-type Multi-physiological Signal Acquisition Device
Xinwei Zhou, Xiaoyong Ji, Xinyu Chai
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.24How to use a DOI?
- Electrodermal activity, Heart rate, Ambient temperature, Motion detection, Wrist-type
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ifmca-16.2017.24 ID - Zhou2017/03 ER -