Towards Prediction of Immersive Virtual Reality Image Quality of Experience and Quality of Service

Autor: Anil Kumar Karembai, Jeffrey Thompson, Patrick Seeling
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Future Internet, Vol 10, Iss 7, p 63 (2018)
Druh dokumentu: article
ISSN: 1999-5903
DOI: 10.3390/fi10070063
Popis: In this article, we evaluate the Quality of Service (QoS) through media impairment levels and device operators’ subjective Quality of Experience (QoE). The human-centered QoE determination commonly requires human subject experimentation, which we combine with Electroencephalography (EEG) measurements to move towards automatized and generalized possibilities of determining the QoE. We evaluate the prediction performance for spherical/immersive images displayed with a mobile device VR viewer (Spherical Virtual Reality (SVR)) with the help of only four-position EEG data gathered at the forehead, which correlates well with practical applicability. We find that QoS levels can be predicted more reliably (directly with R2=0.68 or based on profiles with R2=0.9) than the QoE, which exhibits significant error levels. Additional comparison with previous approaches for the Spherical Augmented Reality (SAR) QoE indicates better predictability in AR scenarios over VR.
Databáze: Directory of Open Access Journals
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