Publications / 2020

Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results

Oana Cristina Balan, Gabriela Moise, Alin Dragos Bogdan Moldoveanu, Florica Moldoveanu, Marius Leordeanu

Proceedings of the International Conference on Human-Computer Interaction (HCII), 2020

Abstract

Summary (the publisher’s abstract is not openly available): Within a holonic, agent-based architecture for virtual-reality phobia therapy, this work classifies users’ fear levels from physiological signals (EEG, galvanic skin response, heart rate) recorded during VR exposure, comparing several machine-learning and deep-learning classifiers in order to automatically adapt the exposure intensity to the patient’s current affective state.

Cite

@inproceedings{balan2020classifying,
  title = {Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results},
  author = {Oana Cristina Balan and Gabriela Moise and Alin Dragos Bogdan Moldoveanu and Florica Moldoveanu and Marius Leordeanu},
  year = {2020},
  booktitle = {Proceedings of the International Conference on Human-Computer Interaction (HCII)},
}