@inproceedings{9c38e086538842bda8c1cfacf5485046,
title = "Design of a Physiologically Based Feedback Loop Using Biosensors for Interactive XR and Spatial Computing Environments",
abstract = "This work investigates the signal characteristics of a physiological response (acute stress) and determines the viability of developing a Virtual Reality (VR) integrated physiologically based real-time feedback loop. This work has possible applications in physiotherapy and patient rehabilitation for long-term conditions including long COVID, persistent pain, and chronic fatigue. Using real-time physiological data, this approach can offer an individualised and immersive therapeutic experience. By synchronizing VR experiences with physiological responses, clinicians can optimise treatment efficacy and facilitate targeted rehabilitation efforts. A design and early prototype were developed to include a feedback loop driven by an ensemble of biosignal signatures, correlating with stress responses, that adjusts dynamic components in the environment. The prototype shows the feasibility of developing a physiologically based XR environment suitable for virtual physiotherapy interventions.",
keywords = "Adaptive, Biosensors, Dynamic, Feedback, Measurement, Sensor Fusion, Virtual Reality",
author = "Riain, \{Eoghan O.\} and McVeigh, \{Joseph G.\} and Fullen, \{Brona M.\} and Denis Martin and David Murphy",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 3rd IEEE International Conference on Intelligent Reality, ICIR 2024 ; Conference date: 04-12-2024 Through 06-12-2024",
year = "2024",
doi = "10.1109/ICIR64558.2024.10976814",
language = "English",
series = "3rd IEEE International Conference on Intelligent Reality, ICIR 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "3rd IEEE International Conference on Intelligent Reality, ICIR 2024",
address = "United States",
}