基于脉搏IMF时频特征和SVDD的驾驶员疲劳检测 (Driver Fatigue Detection Based on IMF Time-frequency Features of Pulse Signal and SVDD).
Jianchun JiangLi JiangHui TangZhuopeng ZhangXuegang WuPublished in: 计算机科学 (2016)
Keyphrases
- hilbert transform
- basis functions
- wavelet transform
- empirical mode decomposition
- multiscale
- support vector data description
- radon transform
- outlier detection
- correlation function
- steerable filters
- detection method
- false positives
- hilbert huang transform
- signal analysis
- signal processing
- non stationary
- image features
- feature vectors
- signal detection
- frequency domain
- feature detection
- extracted features
- detection algorithm
- linear combination
- multiresolution
- feature extraction
- high frequency
- low signal to noise ratio
- classification accuracy