Virtual reality

In this work, we apply and compare Deep Neural Network (DNN) and Convolutional Neural Network (CNN) deep learning algorithms for objective cybersickness measurement from EEG data. We also propose a data preprocessing for learning and signal quality weights allowing us to achieve high performance while learning EEG data with the deep learning algorithms. Besides, we analyze video characteristics where cybersickness occurs by examining the 360 video stream segments causing cybersickness in the experiments. Finally, we draw common patterns that cause cybersickness.

Paper: Jeong, D., Yoo, S., & Yun, J. (2019, March). Cybersickness Analysis with EEG Using Deep Learning Algorithms. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 827-835). IEEE. 

Patent: Jang Y., Jeong D. K., Yoo S., "Method and apparatus for measuring VR sickness", Korean Patent 10-1987225, June 3, 2019 

In this work, we reinterpret Kandinsky's painting "Composition 8" in Virtual Reality. "Composition 8" was painted by Wassily Kandinsky. We created a "composition 8" for VR and exhibited it on October 9, 2019 at Sejong University, Seoul, South Korea.