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Stretchable spring-sheathed yarn sensor for 3D dynamic body reconstruction assisted by transfer learning
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作者 Ronghui Wu Liyun Ma +14 位作者 Zhiyong Chen Yating Shi Yifang Shi Sai Liu Xiaowei Chen Aniruddha Patil Zaifu Lin Yifan Zhang Chuan Zhang Rui Yu Changyong Wang Jin Zhou Shihui Guo Weidong Yu Xiang Yang Liu 《InfoMat》 SCIE CSCD 2024年第4期109-123,共15页
A wearable sensing system that can reconstruct dynamic 3D human body models for virtual cloth fitting is highly important in the era of information and metaverse.However,few research has been conducted regarding confo... A wearable sensing system that can reconstruct dynamic 3D human body models for virtual cloth fitting is highly important in the era of information and metaverse.However,few research has been conducted regarding conformal sen-sors for accurately measuring the human body circumferences for dynamic 3D human body reshaping.Here,we develop a stretchable spring-sheathed yarn sensor(SSYS)as a smart ruler,for precisely measuring the circumference of human bodies and long-term tracking the movement for the dynamic 3D body reconstruction.The SSYS has a robust property,high resilience,high stability(>18000),and ultrafast response(12 ms)to external deformation.It is also washable,wearable,tailorable,and durable for long-time wearing.Moreover,geometric,and mechanical behaviors of the SSYS are systematically investigated both theoretically and experimentally.In addition,a transfer learning algorithm that bridges the discrepancy of real and virtual sensing performance is devel-oped,enabling a small body circumference measurement error of 1.79%,notice-ably lower than that of traditional learning algorithm.Furtherly,3D human bodies that are numerically consistent with the actual bodies are reconstructed.The 3D dynamic human body reconstruction based on the wearing sensing sys-tem and transfer learning algorithm enables excellent virtual fitting and shirt customization in a smart and highly efficient manner.This wearable sensing technology shows great potential in human-computer interaction,intelligent fitting,specialized protection,sports activities,and human physiological health tracking. 展开更多
关键词 3D body reconstruction remote personalized clothes customization transfer learning wearable sensing system yarn sensor array
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The Planning, Organization and Management of Post-disaster Reconstruction of the Lushan Earthquake Based on the Local as the Main Body 被引量:3
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作者 Zeng Fan Qiu Jian Han Xiao 《Earthquake Research in China》 CSCD 2016年第1期131-144,共14页
A new organization and management mechanism with the local government as the main body was created during the post-disaster reconstruction of the "4. 20 " Lushan earthquake,in which the experiences and lesso... A new organization and management mechanism with the local government as the main body was created during the post-disaster reconstruction of the "4. 20 " Lushan earthquake,in which the experiences and lessons were drawn from the "5. 12"Wenchuan earthquake. Correspondingly, the local government conducted an exploration of the organization and management mode in the field of planning and construction. The effective experiences have been accumulated, including working out a full coverage planning,taking the leading part in the urban-rural planning,and exercising whole space control over the disaster area. An innovation management mode named as "Five Generals Pattern"was implemented in the construction projects. In view that the rural housing reconstruction was a weak link, a new approach to improving the construction management was investigated,by means of strengthening on-site supervision,establishing a technical platform,and bolstering public participation. 展开更多
关键词 PLANNING organization and management Lushan earthquake Wenchuanearthquake Post-disaster reconstruction The local as the main body FiveGenerals Pattern
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