EMG Feature Extraction for Driver’s Drowsiness Using RF Wireless Power Transmission Method
Hyun-Sik Choi, Department of Electronic Engineering, College of IT Convergence Engineering, Chosun University, Gwangju City, South Korea.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 494-497 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11040283S19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Various methods are being considered to prevent driver’s drowsiness. Recently, a method for preventing driver’s drowsiness by measuring physical changes such as electromyogram (EMG), electrocardiogram (ECG), and electroencephalogram (EEG) has been considered. In this paper, we proposed simple EMG sensor system for preventing driver’s drowsiness with radio frequency (RF) wireless power transmission method. It is designed to reduce the disturbance to the driver because it is supplied with continuous RF power. Also, we have analyzed the body position suitable for determining the degree of drowsiness by measuring the EMG signals at various body positions. From the measured EMG signal at various parts of the body, the wrist area is the most sensitive to driver’s drowsiness by spectrum analysis.
Keywords: Driver’s Drowsiness, Electromyogram (EMG), Radio Frequency (RF) Wireless Power Transmission Method, Spectrum Analysis.
Scope of the Article: Wireless Power Transmission