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
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;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061676
