Embodied Immersion: Exploring the Convergence of Haptic VR and Pervasive Visual Sensors
 
- Authors: Isha Pant1, Ashish Joshi2, Pragya Baluni3
- 
View Affiliations Hide Affiliations1 Department of Computer Science and Engineering, THDC Institute of Hydropower Engineering and Technology, Uttarakhand, India 2 Graphic Era Deemed To be University, Uttarakhand, India 3 THDC Institute of Hydropower Engineering and Technology, Uttarakhand, India
- Source: Changing Competitive Business Dynamics Through Sustainable Big Data Analysis , pp 39-55
- Publication Date: July 2024
- Language: English


Embodied Immersion: Exploring the Convergence of Haptic VR and Pervasive Visual Sensors, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815256659/chapter-3-1.gif 
Virtual Reality (VR) technology has exponentially gained significance in recent years, providing end users with a virtual world in which users can develop virtual habits or manipulate the items in the virtual scene using their limb movements. As computers and information technology advance, users are searching for innovative types of Human-Computer Interaction techniques to provide a richer experience. In contrast, virtual scene modeling research can help consumers have a more realistic experience and ease of access. This chapter will largely concentrate on the perspectives on Augmented Reality (AR) and VR in the future on a global scale, taking VR strategies that rely on Scene Modeling, Statistical Analysis and Sensor Networking and taking into consideration the research techniques by examining the interactive VR technology from the perception of Visual Sensor Network (VSN), which tends to offer visual information to VR systems, also leading to concise and effectual image data to aid in the creation of a digital model. Simultaneously, a diverse set of applications tends to give the booming VR industry the confidence to append more value.
- 
From This Site/content/books/9789815256659.chapter-3dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
