A Machine Learning Pipeline for Emotion Recognition based on Brain Topographic Maps Derived from Electroencephalogram Signals.
Bruno Cascaes AlvesMarla Pereira MeloArtur Melchiori CerriLarissa Astrogildo de FreitasDiana Francisca AdamattiMarilton Sanchotene de AguiarPublished in: FLAIRS (2024)
Keyphrases
- emotion recognition
- eeg signals
- topographic maps
- machine learning
- brain activity
- eeg data
- physiological signals
- brain signals
- emotional speech
- brain computer interface
- facial expressions
- human computer interaction
- epileptic seizures
- audio visual
- information fusion
- computer vision
- signal processing
- emotion classification
- human subjects
- facial images
- natural language processing
- morphological operations
- binary images
- evoked potentials
- data analysis
- artificial intelligence
- feature selection
- contour lines
- knowledge discovery
- computational intelligence
- ecg signals
- affective states
- emotional state
- data fusion
- sentiment analysis