Cross Applications of Interactive Smart System and Virtual Reality

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 2382

Special Issue Editors

Department of Culture Technology/Advanced Defense Engineering, Changwon National University, Gyeongsangnam-do 51140, Republic of Korea
Interests: virtual reality; augmented reality; computer vision

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Guest Editor
Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Interests: pattern recognition; machine learning; time-series analysis

Special Issue Information

Dear Colleagues,

The integration of interactive smart systems with virtual Reality (VR) heralds a technological revolution, offering applications across diverse sectors. Interactive smart systems, driven by AI and data algorithms, enable seamless human–machine interaction. Coupled with VR, users are immersed in computer-generated environments, blurring the lines between digital and physical worlds. This fusion holds immense potential, particularly in education, healthcare, and industry. From immersive learning experiences to surgical simulations and global virtual collaborations, the possibilities are boundless. However, ethical considerations and data security must be at the forefront. Together, these technologies promise to redefine human experiences and interactions in the digital age.

Submissions should therefore focus on the following topics:

  • Artificial intelligence, generative AI, Chat GPT;
  • AR/VR/XR, and the Metaverse;
  • Interactive system, and smart system;
  • Computer Vision, image recognition, and machine vision.

Dr. Sunjin Yu
Dr. Beomseok Oh
Guest Editors

Manuscript Submission Information

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Keywords

  • AI
  • AR/VR/XR/Metaverse
  • smart system
  • interactive system

Published Papers (2 papers)

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Research

18 pages, 16637 KiB  
Article
Cross-Modality Interaction-Based Traffic Accident Classification
by Changhyeon Oh and Yuseok Ban
Appl. Sci. 2024, 14(5), 1958; https://doi.org/10.3390/app14051958 - 27 Feb 2024
Viewed by 543
Abstract
Traffic accidents on the road lead to serious personal and material damage. Furthermore, preventing secondary accidents caused by traffic accidents is crucial. As various technologies for detecting traffic accidents in videos using deep learning are being researched, this paper proposes a method to [...] Read more.
Traffic accidents on the road lead to serious personal and material damage. Furthermore, preventing secondary accidents caused by traffic accidents is crucial. As various technologies for detecting traffic accidents in videos using deep learning are being researched, this paper proposes a method to classify accident videos based on a video highlight detection network. To utilize video highlight detection for traffic accident classification, we generate information using the existing traffic accident videos. Moreover, we introduce the Car Crash Highlights Dataset (CCHD). This dataset contains a variety of weather conditions, such as snow, rain, and clear skies, as well as multiple types of traffic accidents. We compare and analyze the performance of various video highlight detection networks in traffic accident detection, thereby presenting an efficient video feature extraction method according to the accident and the optimal video highlight detection network. For the first time, we have applied video highlight detection networks to the task of traffic accident classification. In the task, the most superior video highlight detection network achieves a classification performance of up to 79.26% when using video, audio, and text as inputs, compared to using video and text alone. Moreover, we elaborated the analysis of our approach in the aspects of cross-modality interaction, self-attention and cross-attention, feature extraction, and negative loss. Full article
(This article belongs to the Special Issue Cross Applications of Interactive Smart System and Virtual Reality)
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13 pages, 12909 KiB  
Article
Roblox Graffiti Art Using Virtual Reality Devices: Reality and Spatial Presence in a Virtual Space
by Gongkyu Byeon and Sunjin Yu
Appl. Sci. 2023, 13(24), 13038; https://doi.org/10.3390/app132413038 - 06 Dec 2023
Viewed by 1087
Abstract
Graffiti makes a city’s landscape beautiful while simultaneously being considered illegal and violating a city’s cleanliness and respect for public spaces. To solve these problems, we present metaverse virtual-world technology. Within the metaverse, graffitists can freely create, share works, and express themselves through [...] Read more.
Graffiti makes a city’s landscape beautiful while simultaneously being considered illegal and violating a city’s cleanliness and respect for public spaces. To solve these problems, we present metaverse virtual-world technology. Within the metaverse, graffitists can freely create, share works, and express themselves through graffiti art by virtually reproducing the walls or public facilities of a city. The created virtual space used by the graffitists in this paper is Sungnyemun, a traditional Korean heritage site. When comparing Roblox PC content and VR content experiences through IPQ surveys, it was confirmed that participants in the VR content experienced a high level of realism and local presence. Accordingly, there is a new possibility for graffiti to be recognized as a form of urban culture and artistic expression through the metaverse. Full article
(This article belongs to the Special Issue Cross Applications of Interactive Smart System and Virtual Reality)
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