AI-derived quality of experience prediction based on physiological signals for immersive multimedia experiences-Reference-Cited by-同舟云学术

AI-derived quality of experience prediction based on physiological signals for immersive multimedia experiences

Published:2022-06-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th ACM Multimedia Systems Conference
language:
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Author:

Vijayakumar Sowmya¹^ORCID,Corcoran Peter²,Flynn Ronan¹,Murray Niall¹

Affiliation:

1. Technological University of the Shannon, Athlone, Ireland

2. National University of Ireland Galway, Galway, Ireland

Funder

Irish Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524273.3533935

Reference20 articles.

1. Why is Multimedia Quality of Experience Assessment a Challenging Problem?

2. Driver Drowsiness Classification Using Data Fusion of Vehicle-based Measures and ECG Signals

3. CNN and LSTM-Based Emotion Charting Using Physiological Signals

4. Psychophysiology-Based QoE Assessment: A Survey

5. Rishabh Gupta. Physiology-based Quality-of-Experience Assessment for Next Generation Multimedia Technologies. 176. Rishabh Gupta. Physiology-based Quality-of-Experience Assessment for Next Generation Multimedia Technologies. 176.

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