Research on the Technology and Method of Combining Virtual Reality with Eye Movement Tracking - Taking VR Vision Corrector as an Example
DOI:
https://doi.org/10.54097/nsyxvr46Keywords:
virtual reality, eye tracking, convolutional neural networks, vision correctors.Abstract
In response to the low efficiency and error prone human statistical recording in traditional vision testing and correction services, as well as the need for regular vision testing under the normalization of vision testing, which also brings more complex workload for testing personnel and higher professional technical requirements for correcting vision, this article takes VR vision correction equipment as an example to explore the significance and value of virtual reality combined with eye tracking technology in vision correction services. The article first introduces the basic concepts and characteristics of virtual reality, as well as the application of convolutional neural networks in eye tracking technology, and then constructs a research technical framework for VR vision correctors that combine virtual reality with eye tracking. Research has shown that virtual reality and eye tracking technology have great potential for application in the field of vision correction, and can effectively provide certain reference value for research and development in related fields.
Downloads
References
He Shishan Design and implementation of a strabismus measurement system based on virtual reality combined with eye tracking [D]. Huazhong University of Science and Technology, 2020.
Zhao Wenxuan, Zhang Li Research on User Experience of Eye Movement Tracking in Virtual Reality [J] Beauty and Times (Part 1), 2023, (04): 138 - 140.
Ding Ni, Zhao Tian the application and progress of VR eye tracking technology [J] Modern Film Technology, 2023, (02): 43 - 49.
Wu Rongrong Research on Eye Movement Tracking System and Its Application in VR Environment [D]. Tianjin University of Finance and Economics, 2019.
Li Qibing Research on clothing recognition and classification model based on convolutional neural networks [J] Journal of Hunan University of Engineering (Natural Science Edition), 2022, 32 (03): 69 - 73+87.
Li Xiaoning Research on Acceleration Methods for Convolutional Neural Network Models [D]. Shandong Normal University, 2023.
Tong Chaodi, Meng Qiuyun Process analysis of dual row license plate recognition based on convolutional neural networks [J] Changjiang Information and Communication, 2022, 35 (12): 104 - 106.
Shi Tengfei, Shang Jiaxiu, Wu Zonghang Research on Image Classification Improvement Method Based on Convolutional Neural Networks [J] Modern Information Technology, 2023,7 (05): 109 - 112.
Sun Yuxuan, Wang Shuyi, Liang Juhong, Wei Qiangsheng Research on Eye Movement Model of Virtual Reality Motion Design Mechanism Based on EFA Entropy Weight Method [J] Packaging Engineering, 2022, 43 (22): 79 - 86+94.
Zhang Jingyu Research and application of deep learning-based eye tracking methods [D] Xi'an University of Petroleum, 2023.
He Shishan Design and implementation of a strabismus measurement system based on virtual reality combined with eye tracking [D] Huazhong University of Science and Technology, 2020.
Deng Leling Eye tracking object detection method for VR/AR field [D]. Northwestern University, 2022.
Wen Xueqin Research on the Financial Strategy of Guizhou Qianjiu Based on SWOT Analysis [J] Quality and Market, 2022, (07): 193 - 195.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







