Relevant content for the tag: biovr
Publications
Lucid Loop: A Virtual Deep Learning Biofeedback System for Lucid Dreaming Practice
Conference Proceedings: 2019 CHI Conference on Human Factors in Computing Systems, April 18, 2019 2019
Extended Abstracts. DOI: https://doi.org/10.1145/3290607.3312952
ACM
BioFlockVR: Exploring Visual Entrainment through Amorphous Nature Phenomena in Bio-Responsive Multi-Immersant VR Interactives
Conference Proceedings: 2nd International Conference on Image and Graphics Processing (ICIGP '19, March 03, 2019 2019
pp. 150-154. DOI: https://doi.org/10.1145/3313950.3313978
New York, NY
ACM
Deep Learning for Classification of Peak Emotions within Virtual Reality Systems
Conference Proceedings: 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017): Artificial Intelligence Meets Virtual and Augmented Worlds (AIVR), International Series for Information Systems and Management in Creative eMedia (CreMedia), International Ambient Media Association (iAMEA), Jan. 2018
pp. 6-11. ISSN 2341-5576, ISBN 978-952-7023-17-4.
Framework for a Bio-Responsive VR for Interactive Real-time Environments and Interactives
Conference Proceedings: Electronic Visualisation and the Arts, British Computer Society, July 2017
London, UK
Exploring Different Ways of Navigating Emotionally-responsive Artwork in Immersive Virtual Environments
Conference Proceedings: Electronic Visualisation and the Arts, 2015
8 pages
London, UK
British Computer Society
Research
BioSensing 2D / 3D / VR Systems
Our lab has extensive experience in using different sensing technology including eye tracking and facial emotion recognition (DiPaola et al 2013), as well as gesture tracking and heart rate and EDA bio sensing (Song & DiPaola, 2015) to affect generative computer graphics systems.