DocumentCode
2066497
Title
Detecting driver drowsiness and distraction via FFT
Author
Qin, Huabiao ; Lin, Jianwen
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fYear
2011
fDate
14-16 Sept. 2011
Firstpage
1
Lastpage
3
Abstract
A new approach using image processing and pattern recognition is taken to detect the driver´s state of alertness. Applying FFT to the head movements in the frequency domain, we have developed algorithms to highly correlate drowsiness to regular head movements, and distraction to stationary head positions. The introduction of majority voting over multiple sampling points further improves the accuracy of the detection.
Keywords
fast Fourier transforms; image processing; pattern recognition; traffic engineering computing; FFT; driver drowsiness detection; frequency domain; image processing; pattern recognition; stationary head positions; Equations; Fourier transforms; Head; Mathematical model; Tracking; Trajectory; Vehicles; Image processing; driver´s state of alertness; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-0893-0
Type
conf
DOI
10.1109/ICSPCC.2011.6061676
Filename
6061676
Link To Document