Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety
Abstract
Nowadays, virtual reality exposure therapy (VRET) is suggested as a way to treat social anxiety disorder (SAD), including the more specific fear of public speaking (FoPs). The major advantage of using VRET is that the virtual environment represents something in between in vitro and in vivo exposure, and therefore, lower the threshold for engaging in exposure tasks. In this paper, we present a VR system for addressing public speaking anxiety. Furthermore, wireless wristband was worn to detect the heartbeat of the participant in real-time and head movement data were collected from the VR headset. In initial experiments, we use the movement from the VR headset to predict heart rate with the goal of being able to get heart rate from VR equipment without the need for additional equipment allowing larger follow up studies.
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VR head rotation data can be used as a proxy measure of other physiological variables like heart rate that indicate emotional distress, with proof-of-concept already demonstrated.
“This includes the possibility of using VR head rotation data as a proxy measure of other physiological variables like heart rate that indicate emotional distress, proof-of-concept of which has already been demonstrated (Noori et al. 2019) and is possible with related methods (Lomaliza and Park 2019).”
From Better, Virtually: the Past, Present, and Future of Virtual Reality Cognitive Behavior Therapy (2021) · cites this paper as Noori et al. 2019
Cites
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Better, Virtually: the Past, Present, and Future of Virtual Reality Cognitive Behavior Therapy
Lindner, P. (2021) · International Journal of Cognitive Therapy · doi:10.1007/s41811-020-00090-7 · Cited by 120 · see citing works
Self-citation
- Authors
- Noori, F. M., Kahlon, S., Lindner, P., Nordgreen, T., Torresen, J., & Riegler, M.
- Affiliations
- University of Oslo (NO)
- Haukeland University Hospital (NO)
- Stockholm University (SE)
- Høyskolen Kristiania (NO)
- Venue
- 2019 International Conference on Content-Based Multimedia Indexing (CBMI)
- Publisher
- IEEE
- Published
- 2019-09
- Pages
- 1-5
- OpenAlex
- W2981418646
- Cited by
- 11
- References
- 21
- Citations by year
- 2026: 2 · 2024: 1 · 2022: 4 · 2021: 1 · 2020: 3
- FWCI
- 1.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Workshop on Content-Based Multimedia Indexing (CBMI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- heart rate prediction, head movement, virtual reality exposure therapy, social anxiety disorder, public speaking anxiety, physiological monitoring
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