Bernal, Guillermo, et al. "PhysioHMD: a conformable, modular toolkit for collecting physiological data from head-mounted displays." Proceedings of the 2018 ACM International Symposium on Wearable Computers. ACM, 2018.

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 interpret signals in real-time and use them to develop novel, personalized interactions and evaluate virtual experiences. Offering an interface that is not only easy to extend but also 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.