Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers' Stress Recognition.
Katharina LingelbachMichael BuiFrederik DiederichsMathias VukelicPublished in: SMC (2021)
Keyphrases
- machine learning
- human activities
- pattern recognition
- recognition rate
- object recognition
- recognition accuracy
- learning algorithm
- human activity recognition
- deep learning
- decision trees
- feature extraction
- recognition algorithm
- activity analysis
- semi automated
- visual recognition
- activity recognition
- active learning
- machine learning approaches
- image recognition
- fully automated
- information extraction
- machine learning algorithms
- feature selection
- natural language
- automatic recognition
- inductive learning
- knowledge acquisition
- action recognition
- unsupervised learning
- support vector machine
- learning tasks
- supervised learning
- knowledge representation
- machine learning methods
- gait recognition
- image matching
- key factors
- computer vision