Paper Info
Title
PhysioHMD: a conformable, modular toolkit for collecting physiological data from head-mounted displays.
Abstract
Virtual and augmented reality headsets are unique as they have access to our facial area: an area that presents an excellent opportunity for always-available input and insight into the user's state. Their position on the face makes it possible to capture bio-signals as well as facial expressions. This paper introduces the PhysioHMD, a software and hardware modular interface built for collecting affect and physiological data from users wearing a head-mounted display. The PhysioHMD platform is a flexible architecture enables researchers and developers to aggregate and interprets signals in real-time, and use those to develop novel, personalized interactions and evaluate virtual experiences. Offering an interface that is not only easy to extend but also is complemented by a suite of tools for testing and analysis. We hope that PhysioHMD can become a universal, publicly available testbed for VR and AR researchers.
Year
DOI
Venue
2018
10.1145/3267242.3267268
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Affect recognition, virtual reality, augmented reality, physiological signals, BCI, behavioural measures
Virtual reality,Suite,Computer science,Brain–computer interface,Testbed,Augmented reality,Software,Facial expression,Human–computer interaction,Modular design,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-5967-2
5
0.40
References 
Authors
12
4
Name
Order
Citations
PageRank
Guillermo Bernal1162.02
Tao Yang216076.32
Abhinandan Jain351.41
Patricia Maes479411719.73