Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip.
Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip.
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DOI：
10.3390/s21155091
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发表时间：
2021-07-27
期刊：
影响因子：
--
通讯作者：
Cho S
中科院分区：
文献类型：
--
作者：
Satti AT;Kim J;Yi E;Cho HY;Cho S
司机困倦是全世界致命事故的主要原因。最近，一些研究已经调查了基于方向盘抓地力的检测驾驶员困倦的替代方法。在这项研究中，驾驶员困倦检测系统的开发，通过调查的肌肉参与方向盘握在驾驶过程中的肌电图（EMG）信号。在一个小时的交互式驾驶任务中，从驾驶员的前臂位置测量EMG信号。此外，还测量了参与者的困倦程度，以研究肌肉活动与驾驶员困倦程度之间的关系。使用短时傅立叶变换（STFT）和频谱图进行频域分析，以评估所得信号的频率响应。提出了一种基于肌电信号幅值的驾驶员睡意检测和警觉算法。该算法通过检测由于驾驶员困倦增加而导致的EMG信号幅度的下降来检测弱肌肉活动。先前提出的微针电极（MNE）用于获取EMG信号，并与使用银-氯化银（Ag/AgCl）湿电极获得的信号进行比较。结果表明，在驾驶任务中，参与者的困倦程度增加，而参与方向盘抓握的肌肉活动随着时间的推移而减少。频域分析表明，在一个小时的驾驶任务的频率成分从高到低的频谱转移。该算法在真实的实时检测低肌肉活动方面表现出良好的性能。MNE显示出与干Ag/AgCl电极高度可比的结果，这证实了其用于EMG信号监测。整体结果表明，该方法具有良好的潜力，可用作驾驶员的困倦检测和警报系统。
Driver drowsiness is a major cause of fatal accidents throughout the world. Recently, some studies have investigated steering wheel grip force-based alternative methods for detecting driver drowsiness. In this study, a driver drowsiness detection system was developed by investigating the electromyography (EMG) signal of the muscles involved in steering wheel grip during driving. The EMG signal was measured from the forearm position of the driver during a one-hour interactive driving task. Additionally, the participant’s drowsiness level was also measured to investigate the relationship between muscle activity and driver’s drowsiness level. Frequency domain analysis was performed using the short-time Fourier transform (STFT) and spectrogram to assess the frequency response of the resultant signal. An EMG signal magnitude-based driver drowsiness detection and alertness algorithm is also proposed. The algorithm detects weak muscle activity by detecting the fall in EMG signal magnitude due to an increase in driver drowsiness. The previously presented microneedle electrode (MNE) was used to acquire the EMG signal and compared with the signal obtained using silver-silver chloride (Ag/AgCl) wet electrodes. The results indicated that during the driving task, participants’ drowsiness level increased while the activity of the muscles involved in steering wheel grip decreased concurrently over time. Frequency domain analysis showed that the frequency components shifted from the high to low-frequency spectrum during the one-hour driving task. The proposed algorithm showed good performance for the detection of low muscle activity in real time. MNE showed highly comparable results with dry Ag/AgCl electrodes, which confirm its use for EMG signal monitoring. The overall results indicate that the presented method has good potential to be used as a driver’s drowsiness detection and alertness system.
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DOI：
10.3390/s20185183
发表时间：
2020-09-11
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Satti AT;Park J;Park J;Kim H;Cho S
通讯作者：
Cho S
DOI：
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发表时间：
2012-12-07
期刊：
Sensors (Basel, Switzerland)
影响因子：
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作者：
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通讯作者：
Murugappan M
影响因子：
2.5
作者：
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通讯作者：
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作者：
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DOI：
10.1109/tcsi.2005.857555
发表时间：
2005-12-01
影响因子：
5.1
作者：
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通讯作者：
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