| Title | Automatic Angle of Trunk Rotation Detection Using 3D Sensor Imaging in Scoliosis Assessment |
| Author | |
| DOI | |
| Publication Years | 2022
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| ISBN | 978-1-6654-8110-6
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| Source Title | |
| Pages | 172-177
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| Conference Date | 5-9 Dec. 2022
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| Conference Place | Jinghong, China
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10011964 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/425445 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | 1.Department of Electronic and Electrical Engineering, Shenzhen Key Laboratory of Robotics Perception and Intelligence, Southern University of Science and Technology, Shenzhen, China 2.The Yuanhua Robotics, Perception & AI Technologies Ltd., Shenzhen, China 3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology in Shenzhen China, on leave from the Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China |
| First Author Affilication | Department of Electrical and Electronic Engineering |
| First Author's First Affilication | Department of Electrical and Electronic Engineering |
| Recommended Citation GB/T 7714 |
Jie Yang,Ziqi Zhao,Xiao Xiao,et al. Automatic Angle of Trunk Rotation Detection Using 3D Sensor Imaging in Scoliosis Assessment[C],2022:172-177.
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| Files in This Item: | There are no files associated with this item. | |||||
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