Design and implementation algorithm of safe driver assistant system based on EOG
In order to ensure driving safety, improve the intelligent level of the vehicle control system and realize“keeping hands on the wheel”, a safe driver assistant system (SDAS) based on EOG was proposed. The proposed sys-tem utilized saccade signals which come from bio-electrodes installed around drive...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016111/ |
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| author | Zhao LYU Xiao-pei WU Chao ZHANG Bing WEI |
| author_facet | Zhao LYU Xiao-pei WU Chao ZHANG Bing WEI |
| author_sort | Zhao LYU |
| collection | DOAJ |
| description | In order to ensure driving safety, improve the intelligent level of the vehicle control system and realize“keeping hands on the wheel”, a safe driver assistant system (SDAS) based on EOG was proposed. The proposed sys-tem utilized saccade signals which come from bio-electrodes installed around driver's eyes, to generate some control commands when the driver observes different signs located on the head up display (HUD). Furthermore, independent component analysis (ICA) algorithm was used to extract spatial feature parameters of activity-detected EOG signals, and combined with support vector machine (SVM) method to recognize the type of saccade signals, such as up-rolling, left-rolling and right-rolling. Experiments have been carried out in lab environment, and the average correct ratio on 15 sub-jects is 98.43% and 96.0% corresponding to fatigue condition and non-fatigue condition respectively. Experiential results re-veal that the SDAS based on the multi-class saccade signals recognition algorithm presents an excellent classification per-formance. |
| format | Article |
| id | doaj-art-eb31890e627b4fd0902ef454485cb715 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-eb31890e627b4fd0902ef454485cb7152025-01-14T06:55:46ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-07-0137879559702136Design and implementation algorithm of safe driver assistant system based on EOGZhao LYUXiao-pei WUChao ZHANGBing WEIIn order to ensure driving safety, improve the intelligent level of the vehicle control system and realize“keeping hands on the wheel”, a safe driver assistant system (SDAS) based on EOG was proposed. The proposed sys-tem utilized saccade signals which come from bio-electrodes installed around driver's eyes, to generate some control commands when the driver observes different signs located on the head up display (HUD). Furthermore, independent component analysis (ICA) algorithm was used to extract spatial feature parameters of activity-detected EOG signals, and combined with support vector machine (SVM) method to recognize the type of saccade signals, such as up-rolling, left-rolling and right-rolling. Experiments have been carried out in lab environment, and the average correct ratio on 15 sub-jects is 98.43% and 96.0% corresponding to fatigue condition and non-fatigue condition respectively. Experiential results re-veal that the SDAS based on the multi-class saccade signals recognition algorithm presents an excellent classification per-formance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016111/EOGsaccade signalindependent component analysisspatial filteringsupport vector machine |
| spellingShingle | Zhao LYU Xiao-pei WU Chao ZHANG Bing WEI Design and implementation algorithm of safe driver assistant system based on EOG Tongxin xuebao EOG saccade signal independent component analysis spatial filtering support vector machine |
| title | Design and implementation algorithm of safe driver assistant system based on EOG |
| title_full | Design and implementation algorithm of safe driver assistant system based on EOG |
| title_fullStr | Design and implementation algorithm of safe driver assistant system based on EOG |
| title_full_unstemmed | Design and implementation algorithm of safe driver assistant system based on EOG |
| title_short | Design and implementation algorithm of safe driver assistant system based on EOG |
| title_sort | design and implementation algorithm of safe driver assistant system based on eog |
| topic | EOG saccade signal independent component analysis spatial filtering support vector machine |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016111/ |
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