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

IF 26.6 1区材料科学 Q1 Engineering

Nano-Micro Letters Pub Date : 2024-10-16 DOI:10.1007/s40820-024-01545-8

Yunjian Guo, Kunpeng Li, Wei Yue, Nam-Young Kim, Yang Li, Guozhen Shen, Jong-Chul Lee

引用次数: 0

Abstract

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.

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利用可穿戴腕带和自监督对比学习实现动态气写识别的快速适应方法

亮点利用自监督学习，开发出了带有四通道传感阵列和无线传输模块的可穿戴腕带，用于跟踪空中书写和动态手势。该模型可从随机腕部运动的无标记信号中学习先验特征，大大降低了对大量标记数据训练的依赖。腕带系统在使用少量数据进行微调后可快速适应多种场景，通过自然直观的交流增强用户互动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

32.60

自引率

4.90%

发文量

981

审稿时长

1.1 months

期刊介绍： Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.