Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
Peter WashingtonHaik KalantarianJack KentArman HusicAaron KlineÉmilie LeblancCathy HouCezmi MutluKaitlyn DunlapYordan PenevMaya VarmaNate Tyler StockhamBrianna Sierra ChrismanKelley M. PaskovMin Woo SunJae-Yoon JungCatalin VossNick HaberDennis P. WallPublished in: CoRR (2020)
Keyphrases
- discriminative classifiers
- boosted classifiers
- computer games
- training set
- training examples
- educational games
- serious games
- training samples
- object detectors
- training process
- mobile games
- object detection
- detection method
- mobile phone
- false positives
- virtual world
- training data
- decision trees
- autistic children
- face detection
- support vector machine
- game playing
- learning algorithm
- support vector
- feature space
- mobile devices
- training phase
- training dataset
- nash equilibrium
- virtual environment
- supervised learning
- context aware
- supervised training
- support vector machine classifier
- video frames
- virtual characters
- young children
- detection algorithm
- game play
- game theoretic
- multi layer perceptron
- game theory
- text classifiers
- feature set
- video games
- classification algorithm
- classifier training
- game design
- card game
- multi class
- facial expressions