Nano-Micro Letters, Volume. 17, Issue 1, 041(2025)

A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning

Yunjian Guo1,†... Kunpeng Li1,†, Wei Yue2,3,†, Nam-Young Kim2,3, Yang Li4,5,*, Guozhen Shen6,** and Jong-Chul Lee1,*** |Show fewer author(s)
Author Affiliations
  • 1Department of Electronic Convergence Engineering, Kwangwoon University, Seoul 01897, South Korea
  • 2Radio Frequency Integrated Circuit (RFIC) Bio Centre, Kwangwoon University, Seoul 01897, South Korea
  • 3Department of Electronic Engineering, Kwangwoon University, Seoul 01897, South Korea
  • 4School of Microelectronics, Shandong University, Jinan 250101, People’s Republic of China
  • 5State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai 200433, People’s Republic of China
  • 6School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
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    Yunjian Guo, Kunpeng Li, Wei Yue, Nam-Young Kim, Yang Li, Guozhen Shen, Jong-Chul Lee. A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning[J]. Nano-Micro Letters, 2025, 17(1): 041

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    Paper Information

    Category: Research Articles

    Received: Jun. 1, 2024

    Accepted: Sep. 23, 2024

    Published Online: Feb. 12, 2025

    The Author Email: Li Yang (yang.li@sdu.edu.cn), Shen Guozhen (gzshen@bit.edu.cn), Lee Jong-Chul (jclee@kw.ac.kr)

    DOI:10.1007/s40820-024-01545-8

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