Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning.
Ayman AltameemAnkit KumarRamesh Chandra PooniaSandeep KumarAbdul Khader Jilani SaudagarPublished in: IEEE Access (2021)
Keyphrases
- machine learning
- automatic detection
- detection method
- false positives
- traffic accidents
- automatic identification
- machine learning algorithms
- event detection
- machine learning approaches
- artificial intelligence
- support vector machine
- computational intelligence
- detection accuracy
- false alarms
- computer vision
- object detection
- learning algorithm
- learning problems
- learning tasks
- target detection
- explanation based learning
- natural language processing
- detection algorithm
- data analysis
- driver assistance systems
- reinforcement learning
- feature selection
- data mining
- real time
- driving behavior
- traffic signs
- detection scheme
- supervised machine learning
- hybrid approaches
- computational biology
- detection rate
- active learning
- computer science
- pattern recognition
- video sequences
- case study
- real world