Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness-Reference-Cited by-同舟云学术

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Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness

Published:2024-04-15 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 IEEE International Systems Conference (SysCon)
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Short-container-title:

Author:

Al-Ashwal Wadhah¹,Asadi Houshyar²,Qazani Mohammadreza Chalak³,Mohamed Shady²,Nahavandi Saeid⁴,Riecke Bernhard E.⁵

Affiliation:

1. Deakin University,Institute for Intelligent Systems Research and Innovation (IISRI),Australia

2. Deakin University,Institute for Intelligent Systems Research and Innovation,Geelong,VIC,Australia,3125

3. Sohar University,Faculty of Computing and Information Technology,Sohar,Oman

4. Swinburne University of Technology,Hawthorn,VIC,Australia,3122

5. Simon Fraser University,School of Interactive Arts & Technology (SIAT),Surrey,Canada,V3T 0A3

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553374/10553399/10553419.pdf?arnumber=10553419

Reference32 articles.

1. Research in visually induced motion sickness

2. Vection and visually induced motion sickness: how are they related?

3. A Virtual Reality Study Investigating the Effect of Cybersickness on the Relationship Between Vection and Presence Across Environments with Varying Levels of Ecological Relevance

4. Moving in a Moving World: A Review on Vestibular Motion Sickness

5. Validating an Efficient Method to Quantify Motion Sickness

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