This paper aims at the process of augmented reality maintenance, and studies the voice interaction method to realize a more natural and efficient human-computer interaction between maintenance personnel and virtual objects. Study the application and functional requirements of voice interaction in augmented reality assisted maintenance by analyzing the current interaction status. Determine the information transmission between computer and maintenance personnel and establish a knowledge base for maintenance process. Thus, a suitable semantic-based model of voice interaction mechanism is designed. In this paper, speech signal and text information are converted by speech recognition and synthesis technology. And the semantic understanding method based on keyword matching is used to analyze the order of maintenance personnel, so as to convey the feedback information to maintenance personnel or make the operating system perform corresponding functions. Finally complete the communication between the maintenance personnel and the virtual objects.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.