A Novel Method of Multi-user Redirected Walking for Large-Scale Virtual Environments

1Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The wireless virtual reality (VR) solution for Head-Mounted Display (HMD) expands the support to multi-user VR system, so multiple users or participants can collaborate in the same physical space for a large-scale virtual environment. The foremost technical obstacle of multi-user VR system is how to accommodate multiple users within the same physical space. It needs address the problem of potential collisions among these users who are moving both virtually and physically. By analyzing the challenges of multiple users, this paper presents a novel method of multi-user redirected walking for large-scale virtual environments. In this method, an improved approach is presented to calculate the rotation gains, and a user clustering algorithm is adopted to divide the users into groups that are automatically adjusted based on the distance between the boundaries or the size of remaining space. Then a heuristic algorithm for three-user or two-user redirected walking is designed to solve the problem of multi-user roaming in a faster and more efficient way than traditional methods. To verify the validity of our method, we used a computer simulation framework to statistically analyze the influence of different factors, such as the physical space size and the number of users. The results show that our multi-user redirected walking algorithm for large-scale virtual environments is effective and practical.

Cite

CITATION STYLE

APA

Dong, T., Song, Y., Shen, Y., & Fan, J. (2019). A Novel Method of Multi-user Redirected Walking for Large-Scale Virtual Environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11542 LNCS, pp. 143–154). Springer Verlag. https://doi.org/10.1007/978-3-030-22514-8_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free