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

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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Bibliographic Details
Main Authors: Yunjian Guo, Kunpeng Li, Wei Yue, Nam-Young Kim, Yang Li, Guozhen Shen, Jong-Chul Lee
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Nano-Micro Letters
Subjects:
Wearable wristband
Self-supervised contrastive learning
Dynamic gesture
Air-writing
Human–machine interaction
Online Access:https://doi.org/10.1007/s40820-024-01545-8
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https://doi.org/10.1007/s40820-024-01545-8

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