Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation.
Jesús Joel RivasMaria del Carmen LaraLuis CastrejónJorge Hernández-FrancoFelipe Orihuela-EspinaLorena PalafoxAmanda C. de C. WilliamsNadia Bianchi-BerthouzeLuis Enrique SucarPublished in: IEEE Trans. Affect. Comput. (2022)
Keyphrases
- multi label
- multi label classification
- affective states
- class labels
- text categorization
- affect detection
- image classification
- audio visual
- binary classification
- graph cuts
- image annotation
- multi modal
- text classification
- binary classifiers
- object recognition
- intelligent tutoring systems
- classification algorithm
- tutoring system
- multi class
- mental states
- semi supervised learning
- action recognition
- feature extraction
- human subjects
- training set
- human activities
- high level
- training examples
- feature set
- unsupervised learning
- supervised learning
- support vector machine
- feature space
- learning algorithm
- machine learning
- data sets