A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning
Highlights Utilizing self-supervised learning, the proposed wearable wristband with a four-channel sensing array and wireless transmission module is developed for tracking air-writing and dynamic gestures. The model can learn prior features from unlabeled signals of random wrist movements, significa...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-10-01
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| Series: | Nano-Micro Letters |
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| Online Access: | https://doi.org/10.1007/s40820-024-01545-8 |
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| _version_ | 1849234731716050944 |
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| author | Yunjian Guo Kunpeng Li Wei Yue Nam-Young Kim Yang Li Guozhen Shen Jong-Chul Lee |
| author_facet | Yunjian Guo Kunpeng Li Wei Yue Nam-Young Kim Yang Li Guozhen Shen Jong-Chul Lee |
| author_sort | Yunjian Guo |
| collection | DOAJ |
| description | Highlights Utilizing self-supervised learning, the proposed wearable wristband with a four-channel sensing array and wireless transmission module is developed for tracking air-writing and dynamic gestures. The model can learn prior features from unlabeled signals of random wrist movements, significantly reducing the dependency on extensive labeled data for training. The wristband system rapidly adapts to multiple scenarios after fine-tuning using few-shot data, enhancing user interaction through natural and intuitive communication. |
| format | Article |
| id | doaj-art-e1fdb8ae2dd4417692e4dac070b4c2ad |
| institution | Kabale University |
| issn | 2311-6706 2150-5551 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nano-Micro Letters |
| spelling | doaj-art-e1fdb8ae2dd4417692e4dac070b4c2ad2025-08-20T04:03:02ZengSpringerOpenNano-Micro Letters2311-67062150-55512024-10-0117111510.1007/s40820-024-01545-8A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive LearningYunjian Guo0Kunpeng Li1Wei Yue2Nam-Young Kim3Yang Li4Guozhen Shen5Jong-Chul Lee6Department of Electronic Convergence Engineering, Kwangwoon UniversityDepartment of Electronic Convergence Engineering, Kwangwoon UniversityRadio Frequency Integrated Circuit (RFIC) Bio Centre, Kwangwoon UniversityRadio Frequency Integrated Circuit (RFIC) Bio Centre, Kwangwoon UniversitySchool of Microelectronics, Shandong UniversitySchool of Integrated Circuits and Electronics, Beijing Institute of TechnologyDepartment of Electronic Convergence Engineering, Kwangwoon UniversityHighlights Utilizing self-supervised learning, the proposed wearable wristband with a four-channel sensing array and wireless transmission module is developed for tracking air-writing and dynamic gestures. The model can learn prior features from unlabeled signals of random wrist movements, significantly reducing the dependency on extensive labeled data for training. The wristband system rapidly adapts to multiple scenarios after fine-tuning using few-shot data, enhancing user interaction through natural and intuitive communication.https://doi.org/10.1007/s40820-024-01545-8Wearable wristbandSelf-supervised contrastive learningDynamic gestureAir-writingHuman–machine interaction |
| spellingShingle | 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 Nano-Micro Letters Wearable wristband Self-supervised contrastive learning Dynamic gesture Air-writing Human–machine interaction |
| title | A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning |
| title_full | A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning |
| title_fullStr | A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning |
| title_full_unstemmed | A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning |
| title_short | A Rapid Adaptation Approach for Dynamic Air-Writing Recognition Using Wearable Wristbands with Self-Supervised Contrastive Learning |
| title_sort | rapid adaptation approach for dynamic air writing recognition using wearable wristbands with self supervised contrastive learning |
| topic | Wearable wristband Self-supervised contrastive learning Dynamic gesture Air-writing Human–machine interaction |
| url | https://doi.org/10.1007/s40820-024-01545-8 |
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