Interaction Technology Based on 3D printing topographic sand table for Emergency Management
Authors: 
Dong Wu, Jianhua Gong, Yi LiAuthors Info & Claims
Dong Wu, Jianhua Gong, Yi LiAuthors Info & ClaimsPages 100 - 104
Abstract
Enhance Virtual Reality is an innovative technique to perform dynamic 3D visualization and emergency management based on sand table, which needs convenient human-computer interaction techniques. Traditional interaction techniques such as mouse and keyboard cannot realize convenient interaction between human and the dynamic virtual scene of sand table. Gesture interaction method has received increasing attention in human-computer interaction. This paper researches interaction techniques based on computer vision and deep learning, and convolutional neural network was used in gesture recognition. A prototype system based on 3D printing sand table is proposed to achieve dynamic scene demonstration. The experiment shows that gesture recognition accuracy is 99.51%, and the visualization system can perform convenient operations on 3D printing sand table.
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Index Terms
- Interaction Technology Based on 3D printing topographic sand table for Emergency Management
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Published In
October 2018
217 pages
ISBN:9781450365192
DOI:10.1145/3289430
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- Deakin University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 October 2018
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- Research-article
- Research
- Refereed limited
Funding Sources
- the Strategic Priority Research Program of Chinese Academy of Sciences
- the Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education
- the National Natural Science Foundation of China
- National Key Research and Development Program of China
Conference
BDIOT 2018
BDIOT 2018: 2018 2nd International Conference on Big Data and Internet of Things
October 24 - 26, 2018
Beijing, China
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Overall Acceptance Rate 75 of 136 submissions, 55%
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