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Exertion-Aware Path Generation

delete2020-08-12
delete19
PRE
AI
李
李皖皖 (Wanwan Li) *
B
Biao Xie
Y
Yongqi Zhang
H
Haikun Huang
L
Lap-Fai Yu
DOI:10.1145/3386569.3392393delete
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摘要

摘要

En 中文
We propose a novel approach for generating paths with desired exertion properties, which can be used for delivering highly realistic and immersive virtual reality applications that help users achieve exertion goals. Given a terrain as input, our optimization-based approach automatically generates feasible paths on the terrain which users can bike to perform body training in virtual reality. The approach considers exertion properties such as the total work and the perceived level of path difficulty in generating the paths. To verify our approach, we applied it to generate paths on a variety of terrains with different exertion targets and constraints. To conduct our user studies, we built an exercise bike whose force feedback was controlled by the elevation angle of the generated path over the terrain. Our user study results showed that users found exercising with our generated paths in virtual reality more enjoyable compared to traditional exercising approaches. Their energy expenditure in biking the generated paths also matched with the specified targets, validating the efficacy of our approach.
Keyword:
procedural modeling
level design
path generation
haptics
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期刊

ACM Transactions on Graphics 封面图
ACM Transactions on Graphics
IF:
9.5
论文数:
4.7K
被引数:
3.6W

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G
George Mason University
学者数:
7.7K
论文数: 7.9K
被引数: 1.0W
U
University of Massachusetts Boston
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2.4K
论文数: 1.9K
被引数: 4.2K
U
university of massachusetts system
学者数:
3.9W
论文数: 3.6W
被引数: 42
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