An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals.
Olivia Vargas-LopezCarlos A. Perez-RamirezMartin Valtierra-RodriguezJesus J. Yanez-BorjasJuan Pablo Amezquita-SanchezPublished in: Sensors (2021)
Keyphrases
- machine learning
- support vector machine
- feature selection
- support vector machine svm
- statistical methods
- support vector
- detection method
- information extraction
- kernel methods
- computer vision
- knn
- emg signals
- pattern recognition
- signal detection
- object detection
- automatic detection
- machine learning methods
- learning algorithm
- statistical models
- machine learning algorithms
- kernel function
- hyperplane
- expert systems
- false alarms
- decision trees
- phase locked
- learning tasks
- fault diagnosis
- statistical analysis
- data mining
- signal processing
- svm classifier
- independent component analysis
- training data
- data analysis
- object detectors
- support vectors
- feature space
- feature vectors
- multi class
- supervised learning
- text mining
- text classification
- information theoretic
- neural network
- classification algorithm
- detection algorithm