首页|Researcher at Chongqing Technology and Business University Has Published New Study Findings on Artificial Intelligence (Artificial Intelligence and Digital Museum VR Environment Design Based on Embedded Image Processing)

Researcher at Chongqing Technology and Business University Has Published New Study Findings on Artificial Intelligence (Artificial Intelligence and Digital Museum VR Environment Design Based on Embedded Image Processing)

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Research findings on artificial intelligence are discussed in a new report. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “As a carrier of human cultural heritage, it is of great practical significance to apply VR technology to the construction of modern digital museums.” The news journalists obtained a quote from the research from Chongqing Technology and Business University: “This paper combines artificial intelligence and SNN algorithms for image segmentation and proposes the overall framework of ‘embedded image acquisition and SNN segmentation processing’. This system is utilized to improve the picture clarity and delay efficiency of VR technology and reduce the vertigo feeling of the user experience. The VR environment of the digital museum is designed according to the user’s intentions. Finally, the effectiveness of the designed museum VR environment is verified by evaluating the comfort, interaction, and emotional experience of the VR museum. The experimental results show that in terms of comfort experience, the SSQ scale score of the VR museum experience based on the embedded image processing is 7.1, which is nearly double the score of the original VR museum experience. In terms of interaction and emotional experience, the overall satisfaction score of the VR environment design of the M museum was 9.4.”

Chongqing Technology and Business UniversityChongqingPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.4)