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pro vyhledávání: '"Yangzi Dong"'
Autor:
Yangzi Dong, Chao Peng
Publikováno v:
International Journal of Computer Games Technology, Vol 2019 (2019)
Achieving the efficient rendering of a large animated crowd with realistic visual appearance is a challenging task when players interact with a complex game scene. We present a real-time crowd rendering system that efficiently manages multiple types
Externí odkaz:
https://doaj.org/article/046f31486244407f80af72179ef55fe1
Autor:
Yangzi Dong, Chao Peng
Publikováno v:
The Visual Computer.
Publikováno v:
Virtual Reality. 25:597-612
This work presents the design and evaluation of a set of three mini exercise games (exergames), called “Ellic’s Exercise Class,” which allows people to play in virtual reality (VR) using a head-mounted display (HMD) with the intention to promot
Autor:
Ananya Ipsita, Levi Erickson, Yangzi Dong, Joey Huang, Alexa K Bushinski, Sraven Saradhi, Ana M Villanueva, Kylie A Peppler, Thomas S Redick, Karthik Ramani
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology.
This work presents the design and evaluation of three bimanual interaction modalities for cross-workspace interaction in virtual reality (VR), in which the user can move items between a personal workspace and a shared workspace. We conducted an empir
Autor:
Chao Peng, Yangzi Dong
Publikováno v:
International Journal of Computer Games Technology, Vol 2019 (2019)
Achieving the efficient rendering of a large animated crowd with realistic visual appearance is a challenging task when players interact with a complex game scene. We present a real-time crowd rendering system that efficiently manages multiple types
Publikováno v:
ACM Multimedia
In this work, we propose an end-to-end system that provides both hardware and software support for real-time gesture recognition. We apply a convolutional neural network over 3D rotation data of finger joints rather than over vision-based data, in or