Towards an Effective Arousal Detection System for Virtual Reality

Ifigeneia Mavridou, Ellen Seiss, Theodoros Kostoulas, C. Nduka, Emili Balaguer-Ballester

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Immersive technologies offer the potential to drive engagement and create exciting experiences. A better understanding of the emotional state of the user within immersive experiences can assist in healthcare interventions and the evaluation of entertainment technologies. This work describes a feasibility study to explore the effect of affective video content on heart-rate recordings for Virtual Reality applications. A lowcost reflected-mode photoplethysmographic sensor and an electrocardiographic chest-belt sensor were attached on a novel non-invasive wearable interface specially designed for this study. 11 participants responses were analysed, and heart-rate metrics were used for arousal classification. The reported results demonstrate that the fusion of physiological signals yields to significant performance improvement; and hence the feasibility of our new approach.
Original languageUndefined/Unknown
Title of host publicationHuman-habitat multimodal interaction for promoting health and well-being in the Internet of Things era: Human-Habitat for Health (H3) Workshop at the 20th ACM International Conference on Multimodal Interaction (ICMI 2018)
Number of pages6
Publication statusPublished - 2018
Externally publishedYes

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