Title | ||
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A Wearable-Glasses-Based Drowsiness-Fatigue-Detection System For Improving Road Safety |
Abstract | ||
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This paper proposes a drowsiness-fatigue-detection (DFD) system for improving road safety, which consists of a wearable smart glasses, an in-vehicle infotainment system (a vehicular telematics device), an automotive diagnostic bridge, and a cloud-based platform, etc. The proposed DFD system can real-time detect driver's state for drowsiness or fatigue. When detecting drowsiness or fatigue situation occurrence, thus the rear lights of the vehicle will automatically he flickered and message will be sent to the cloud-based platform, concurrently. Hence, the proposed system can effectively achieve the purpose of road safety improvement. |
Year | Venue | Keywords |
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2016 | 2016 IEEE 5TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS | driver condition monitoring, drowsiness-fatigue-detection systems, internet of things (IoT), road safety, vehicular accidents, wearable devices |
Field | DocType | Citations |
Wearable computer,Computer science,Real-time computing,Telematics,Embedded system,Automotive industry,Cloud computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liang-Bi Chen | 1 | 26 | 18.40 |
Wan-Jung Chang | 2 | 13 | 12.53 |
Jian-Ping Su | 3 | 1 | 4.20 |
Ji-Yi Ciou | 4 | 0 | 0.34 |
Yi-Jhan Ciou | 5 | 0 | 0.34 |
Cheng-Chin Kuo | 6 | 0 | 0.68 |
Katherine Shu-Min Li | 7 | 133 | 29.02 |