Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning.
Billy WardChandresh PravinAlec ChetcutiYoshikatsu HayashiVarun OjhaPublished in: ISDA (2020)
Keyphrases
- signal processing
- machine learning
- pattern recognition
- eeg signals
- machine learning methods
- decision trees
- supervised learning
- classification accuracy
- text classification
- neural network
- brain computer interface
- machine learning algorithms
- feature selection
- supervised classification
- support vector machine
- machine learning approaches
- learning algorithm
- model selection
- feature vectors
- supervised machine learning
- image processing
- classification algorithm
- class labels
- training data
- support vector machine svm
- unsupervised learning
- support vector
- fourier transform
- automatic classification
- classification scheme
- information extraction
- eeg data
- motor imagery
- genre classification
- spectral features
- classification models
- independent component analysis
- learning tasks
- semi supervised learning
- active learning
- data analysis
- computer vision