BiLSTM-based Quality of Experience Prediction using Physiological Signals-Reference-Cited by-同舟云学术

BiLSTM-based Quality of Experience Prediction using Physiological Signals

Published:2022-09-05 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Quality of Multimedia Experience (QoMEX)
language:
Short-container-title:

Author:

Vijayakumar Sowmya¹,Flynn Ronan¹,Corcoran Peter²,Murray Niall¹

Affiliation:

1. Technological University of the Shannon,Department of Computer and Software Engineering,Ireland

2. National University of Ireland Galway,Department of Electrical and Electronic Engineering,Ireland

Funder

Irish Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9900491/9900873/09900877.pdf?arnumber=9900877

Reference24 articles.

1. User-Independent Classification of 2D versus 3D Multimedia Experiences through EEG and Physiological Signals;kroupi;Proceedings of the International Workshop on Video Processing and Quality Metrics for Consumer Electronics,2014

2. Perceptual Experience Analysis for Tone-mapped HDR Videos Based on EEG and Peripheral Physiological Signals

3. A novel strategy for classifying perceived video quality using electroencephalography signals

4. Spherical image QoE approximations for vision augmentation scenarios

5. Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Role of ECG and Respiration in Predicting Quality of Experience;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18

2. A Multi-Task Approach for Real-Time Quality of Experience Factors Prediction from Physiological Data;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. New Approach for an Affective Computing- Driven Quality of Experience (QoE) Prediction;IEEE Communications Magazine;2023-10