Stretchable spring-sheathed yarn sensor for 3D dynamic body reconstruction assisted by transfer learning  

作　　者：Ronghui Wu Liyun Ma 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 

机构地区：[1]College of Ocean and Earth Sciences,State Key Laboratory of Marine Environmental Science,College of Physical Science and Technology,School of Informatics,Xiamen University,Xiamen,the People's Republic of China [2]Prizker School of Molecular Engineering,The University of Chicago,Chicago,Illinois,USA [3]Key Laboratory of Textile Science&Technology,Ministry of Education,College of Textiles,Donghua University,Shanghai,the People's Republic of China [4]College of Textile Science and Engineering(International Institute of Silk),Zhejiang Sci-Tech University,Hangzhou,the People's Republic of China [5]Chongqing Academy of Metrology and Quality Inspection,Chongqing,the People's Republic of China [6]Beijing Institute of Basic Medical Sciences,Beijing,the People's Republic of China

出　　处：《InfoMat》2024年第4期109-123,共15页信息材料（英文）

基　　金：National Nature Science Foundation of China(No.12074322,No.62072383);Science and Technology Project of Xiamen City(3502Z20183012);Science and Technology Planning Project of Guangdong Province(2018B030331001);Shenzhen Science and technology plan project(JCYJ20180504170208402)。

摘　　要：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.

关 键 词：3D body reconstruction remote personalized clothes customization transfer learning wearable sensing system yarn sensor array 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]