Evaluation of PERCLOS based current fatigue monitoring technologies

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 4456-4459

  Sommer, D ^a   Golz, M ^a  

^a University of Applied Sciences Schmalkalden   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DATA SEGMENT; DRIVER FATIGUE; DRIVING PERFORMANCE; DRIVING SIMULATION; DRIVING TASKS; ELECTRO-OCULOGRAM; EYE CLOSURE; FATIGUE MONITORING; HIGH TEMPORAL RESOLUTION; LABORATORY CONDITIONS; LINEAR DEPENDENCE; OUTPUT VARIABLES; PERCLOS; PRODUCT-MOMENT CORRELATION; SDL; SPECTRAL-DOMAIN; STANDARD DEVIATION; TEMPORAL RESOLUTION;

AUTOMOBILE DRIVERS;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; BIOMEDICAL TECHNOLOGY ASSESSMENT; CAR DRIVING; COMPARATIVE STUDY; ELECTROENCEPHALOGRAPHY; ELECTROOCULOGRAPHY; EVALUATION STUDY; FATIGUE; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE;

ALGORITHMS; AUTOMOBILE DRIVING; ELECTROENCEPHALOGRAPHY; ELECTROOCULOGRAPHY; FATIGUE; HUMANS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE AND ANALYSIS; TECHNOLOGY ASSESSMENT, BIOMEDICAL;

EID: 78650838256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5625960     Document Type: Conference Paper

References (8)

1. Knipling RR (1998) Three Fatigue Management Revolutions for the 21st Century. In: Hartley LR (ed) Managing Fatigue in Transportation. Proc 3rd Int Conf, Fremantle, Australia. Pergamon Press: 355-378
2. Åkerstedt T, Gillberg M (1990) Subjective and objective sleepiness in the active individual. Int J Neurosci 52:29-37
3. Ingre M, Åkerstedt T, Peters B et al (2006) Subjective sleepiness, simulated driving performance and blink duration examining individual differences. J Sleep Res 15: 47-53
4. Bishop CM (2007) Pattern Recognition and Machine Learning. 2nd ed, Springer, New York
5. Wierwille W, et al. (1994) Research on vehicle-based driver status / performance monitoring: development, validation, and refinement of algorithms for detection of driver drowsiness. Report No DOT HS 808 247. NHTSA, Washington D.C.
6. Golz M, Sommer D, Chen M, Mandic DP, Trutschel U (2007) Feature Fusion for the Detection of Microsleep Events. J VLSI Signal Proc 49:329-342
7. Dinges DF, Mallis M, Maislin G, Powell JW (1998) Final report: Evaluation of techniques for ocular measurement as an index of fatigue and as the basis for alertness management. Report No DOT HS 808 762. NHTSA, Washington D.C.
8. Johns M (2003) The amplitude-velocity ratio of blinks a new method for monitoring drowsiness. Sleep 26: A51-52