Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Exploration on Intelligent Interaction Design and User Experience of VR Platform Based on Intelligent Perception and Deep Learning

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342820,
        author={Yadong  Zhang and Yujuan  Zheng and Chen  Yin and Chunju  Shi},
        title={Exploration on Intelligent Interaction Design and User Experience of VR Platform Based on Intelligent Perception and Deep Learning},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={intelligent perception deep learning vr platform intelligent interaction},
        doi={10.4108/eai.17-11-2023.2342820}
    }
    
  • Yadong Zhang
    Yujuan Zheng
    Chen Yin
    Chunju Shi
    Year: 2024
    Exploration on Intelligent Interaction Design and User Experience of VR Platform Based on Intelligent Perception and Deep Learning
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342820
Yadong Zhang1,*, Yujuan Zheng2, Chen Yin1, Chunju Shi1
  • 1: School of Information Engineering, Shandong Vocational University of Foreign Affairs, Weihai, Shandong Province, China
  • 2: Information Center, Shandong Drug and Food Vocational College, Weihai, Shandong Province, China
*Contact email: 153318291@qq.com

Abstract

With the popularization of mobile terminals, the development and application fields of VR (virtual reality) technology are receiving increasing attention. Intelligent interactive systems play an important role in this field, and VR scenarios are a new way of digital information dissemination. This article took user experience as the starting point for research. Firstly, relevant literature at home and abroad was organized and summarized. Secondly, after analyzing the integration of existing mainstream platforms with deep learning (DL) theory, an intelligent interaction design platform based on DL model fusion was designed and developed, and experimental and evaluation results were compared and analyzed based on the algorithm. The test results showed that the overall flexibility of the system's interaction was over 70%; the overall delay rate was within 0.08; the tracking accuracy was above 89%. This indicated that through the optimization of DL algorithms, the intelligent interactive design VR platform can meet user needs.