Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection Paradigm.
Henrich KolkhorstSaku KärkkäinenAmund Faller RaheimWolfram BurgardMichael TangermannPublished in: EMBC (2019)
Keyphrases
- eeg signals
- user interface
- automatic detection
- classification accuracy
- feature selection
- object detection
- end users
- pattern classification
- human users
- classification scheme
- support vector
- feature extraction
- detection method
- image classification
- user interaction
- frequency band
- eeg data
- robust detection
- decision trees
- pattern recognition
- recommender systems
- text classification
- support vector machine
- learning algorithm
- website
- spam detection
- feature space
- automatic classification
- training set
- detection rate
- user experience
- classification rules
- classification method
- classification algorithm
- false positives
- face detection
- supervised learning
- training samples