Few-Shot Adaptation to Unseen Conditions for Wireless-Based Human Activity Recognition Without Fine-Tuning

IF 7.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Mobile Computing Pub Date : 2024-09-17 DOI:10.1109/tmc.2024.3462466

Xiaotong Zhang, Qingqiao Hu, Zhen Xiao, Tao Sun, Jiaxi Zhang, Jin Zhang, Zhenjiang Li

引用次数: 0

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基于无线的人类活动识别无需微调，只需少量镜头即可适应未知条件

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

IEEE Transactions on Mobile Computing 工程技术-电信学

CiteScore

12.90

自引率

2.50%

发文量

403

审稿时长

6.6 months

期刊介绍： IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.