Paper
19 March 2004 An acoustic interface for triggering actions in virtual environments
Yinlin Li, Christoph Groenegress, Jochen Denzinger, Wolfgang Strauss, Monika Fleischmann
Author Affiliations +
Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561152
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China
Abstract
Currently one of the main research issues in Human Computer Interaction (HCI) is to develop more intuitive, multimodal and natural interfaces. Among them, the interface for triggering simple actions or selecting objects in virtual environments (VEs) is one of the concerned areas. In this paper we describe an acoustic interface which uses finger snap or hand clap sounds as the input command to initiate events for VE applications. We developed a sophisticated algorithm based on the wavelet transform and neural network techniques, which separate the environment noise from the snap and clap sound. The acoustic interface could be integrated with other interfaces like optical tracking systems to provide a more natural, easy-to-use, efficient and boyd-centered multimodal interaction for virtual reality applications.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinlin Li, Christoph Groenegress, Jochen Denzinger, Wolfgang Strauss, and Monika Fleischmann "An acoustic interface for triggering actions in virtual environments", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561152
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication and 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Human-machine interfaces

Acoustics

Virtual reality

Interfaces

Neural networks

Detection and tracking algorithms

Evolutionary algorithms

Back to Top