Non-intrusive drowsiness detection by employing Support Vector Machine.
Ashardi AbasJohn MellorXun ChenPublished in: ICAC (2014)
Keyphrases
- support vector machine
- object detection
- svm classifier
- detection method
- detection algorithm
- detection accuracy
- multi class
- automatic detection
- false positives
- pairwise
- detection rate
- k nearest neighbor
- decision boundary
- training set
- feature space
- support vector
- real world
- support vector regression
- small sample
- real time
- soft margin
- change detection
- classification algorithm
- image classification
- knn
- special case
- training data
- neural network