Towards an Effectve Arousal Detecton System for Virtual Reality.

Mavridou, I., Seiss, E., Kostoulas, T., Nduka, C. and Balaguer-Ballester, E., 2018. Towards an Effectve Arousal Detecton System for Virtual Reality. In: Human-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), 16-20 October 2018, Colorado, USA.

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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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Virtual Reality; Arousal, Classification; PPG; ECG; C-SVM;
Group:Faculty of Science & Technology
ID Code:31285
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:28 Sep 2018 15:59
Last Modified:22 Oct 2018 09:15

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