DocumentCode :
3045830
Title :
Cell-phone based Drowsiness Monitoring and Management system
Author :
Yu-Te Wang ; Chung-kuan Cheng ; Kuan-Chih Huang ; Chin-Teng Lin ; Yijun Wang ; Tzyy-Ping Jung
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California San Diego, La Jolla, CA, USA
fYear :
2012
fDate :
28-30 Nov. 2012
Firstpage :
200
Lastpage :
203
Abstract :
In recent years, driving fatigue and cognitive lapses have gained increasing attentions in the fields of public security, especially regarding the safe manipulation of vehicles. Studies have explored the relation between electroencephalogram (EEG) and driving behavior and several of them further proposed effective approaches (e.g., auditory feedback) to arouse subjects from drowsiness. However, these studies were performed under laboratory-oriented configurations using tethered, ponderous EEG equipment. In real environments, the setup of bulky cognitive monitoring equipment with a long-prep time is not feasible. Therefore, this study extends previous laboratory work by developing an on-line Drowsiness Monitoring and Management (DMM) System featuring a mobile wireless dry-sensor EEG headgear and a cell-phone based real-time EEG processing platform. The DMM system can continuously observe EEG dynamics, deliver arousing feedback to users experiencing momentary cognitive lapses, and assess the efficacy of the feedback in near real-time.
Keywords :
biomedical equipment; cognition; electroencephalography; medical signal processing; mobile computing; neurophysiology; patient monitoring; DMM system; EEG dynamics; bulky cognitive monitoring equipment; cell-phone based drowsiness management system; cell-phone based drowsiness monitoring system; cell-phone based real-time EEG processing platform; cognitive lapses; driving behavior; driving fatigue; electroencephalogram; laboratory-oriented configurations; mobile wireless dry-sensor EEG headgear; momentary cognitive lapses; on-line drowsiness management system; on-line drowsiness monitoring system; ponderous EEG equipment; public security; safe manipulation; Educational institutions; Electroencephalography; Mobile communication; Monitoring; Real-time systems; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-2291-1
Electronic_ISBN :
978-1-4673-2292-8
Type :
conf
DOI :
10.1109/BioCAS.2012.6418462
Filename :
6418462
Link To Document :
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