arrow
Return

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
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

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.
Keywords:
procedural modeling
level design
path generation
haptics
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

ACM Transactions on Graphics cover
ACM Transactions on Graphics
IF:
9.5
Papers:
4.7K
Citations:
3.6W

Organization

G
George Mason University
Scholars:
7.7K
Papers: 7.9K
Citations: 1.0W
U
University of Massachusetts Boston
Scholars:
2.4K
Papers: 1.9K
Citations: 4.2K
U
university of massachusetts system
Scholars:
3.9W
Papers: 3.6W
Citations: 42
researcher View more organizations
Cited Papers

Cited Papers

errShare
errSave
Flow transition in dual bell nozzles
err2008-11-20
err0
PREAI
errChloe Nürnberger-Genin; Ralf Stark
errShare
errSave
Fiber type specific glycogen utilization in rat diaphragm during treadmill exercise
err1987-07-01
err0
PREAI
errH. J. Green; M. E. Ball-Burnett; M. A. Morrissey; M. J. Spalding; R. L. Hughson; I. G. Fraser
errShare
errSave
Home-Based Exercise Program Improves Balance and Fear of Falling in Community-Dwelling Older Adults with Mild Alzheimer's Disease: A Pilot Study
err2017-07-17
err71
PREAI
errPadala, Kalpana P.; Padala, Prasad R.; Lensing, Shelly Y.; Dennis, Richard A.; Bopp, Melinda M.; Roberson, Paula K.; Sullivan, Dennis H.
errShare
errSave
The effect of interactive cognitive-motor training in reducing fall risk in older people: a systematic review
err2014-09-20
err142
errOAAI
errSchoene, Daniel; Valenzuela, Trinidad; Lord, Stephen R.; de Bruin, Eling D.
errShare
errSave
Acoustic texture rendering for extended sources in complex scenes
err2019-11-08
err4
PREAI
errZhang, Zechen; Raghuvanshi, Nikunj; Snyder, John; Marschner, Steve
errShare
errSave
Playing online games against computer- vs. human-controlled opponents: Effects on presence, flow, and enjoyment
err2008-09-01
err337
PREAI
errWeibel, David; Wissmath, Bartholomaeus; Habegger, Stephan; Steiner, Yves; Groner, Rudolf
errShare
errSave
researcher View more