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Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface
Joint Authors
Yu, Shyr-Shen
Chen, Po-Ying
Chang, Yukan
Huang, Der-Chen
Tsai, Chwei-Shyong
Huang, Yu-Jung
Lin, Wei-Cheng
Chu, Shao-I
Pan, Chung-Long
Lin, Tsung-Hung
Liu, Shyh-Chang
Yeh, Wen-kuan
Chen, Chi-Chang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Skin is the largest organ of the human body and a physiological structure that is directly exposed to the environment.
From a theoretical perspective, numerous physiological and psychological signals use the skin as a medium for input and output with the outside world.
Therefore, the skin is considered an optimal signal interception point when developing noninvasive, direct, and rapid signal exploration devices.
To date, skin signal interceptions are predominantly performed by measuring skin impedance.
However, this method is prone to interference such as sweat secretion, salt accumulation on the skin, and muscle contractions, which may result in a substantial amount of interference and erroneous results.
The present study proposes novel and effective methods for skin signal interception, such as using a nested probe as a sensor to measure capacitance to be further processed as physiological and psychological signals.
The experimental results indicate that the capacitance curve for the transition between wakefulness and dozing exhibits significant changes.
This change in the curve can be analyzed by computer programs to clearly and rapidly determine whether the subject has entered the initial phases of sleep.
American Psychological Association (APA)
Chen, Po-Ying& Chen, Chi-Chang& Yeh, Wen-kuan& Chang, Yukan& Huang, Der-Chen& Yu, Shyr-Shen…[et al.]. 2014. Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface. Journal of Sensors،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042917
Modern Language Association (MLA)
Chen, Po-Ying…[et al.]. Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface. Journal of Sensors No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1042917
American Medical Association (AMA)
Chen, Po-Ying& Chen, Chi-Chang& Yeh, Wen-kuan& Chang, Yukan& Huang, Der-Chen& Yu, Shyr-Shen…[et al.]. Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042917