Machine Learning Application for Real-Time Simulator

Author:

Hadadi Azadeh1ORCID,Chardonnet Jean-Rémy2ORCID,Guillet Christophe3ORCID,Ovtcharova Jivka4ORCID

Affiliation:

1. Institute for Information Management in Engineering, Karlsruhe Institute of Technology, Germany and Institut arts et metiers de chalon-sur-saône, Arts et Metiers Institute of Technology,LISPEN,HESAM,Université,UBFC, France

2. Institut arts et metiers de chalon-sur-saône, Arts et Metiers Institute of Technology,LISPEN,HESAM,Université,UBFC, France

3. Université de Bourgogne,LISPEN,UBFC, France

4. Institute for Information Management in Engineering, Karlsruhe Institute of Technology, Germany

Funder

Institute for Information Management in Engineering

French-German University

Publisher

ACM

Reference19 articles.

1. Design of a Physiology-based Adaptive Virtual Reality Driving Platform for Individuals with ASD

2. Albert Bifet, Ricard Gavalda, Geoffrey Holmes, and Bernhard Pfahringer. 2023. Machine learning for data streams: with practical examples in MOA. MIT press.

3. Features of the Postural Sway Signal as Indicators to Estimate and Predict Visually Induced Motion Sickness in Virtual Reality

4. Natalia Dużmańska, Paweł Strojny, and Agnieszka Strojny. 2018. Can simulator sickness be avoided? A review on temporal aspects of simulator sickness. Frontiers in psychology 9 (2018), 2132.

5. Lawrence Frank, Robert S Kennedy, Robert S Kellogg, Michael E McCauley, and ESSEX CORP ORLANDO FL. 1983. Simulator sickness: A reaction to a transformed perceptual world. 1. scope of the problem. In Proceedings of the Second Symposium of Aviation Psychology, Ohio State University, Columbus OH. 25–28.

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