Compared with systems rely on wearable sensors, cameras or other devices, WiFi-based gesture recognition systems are convenient, non-contact and privacy-friendly, which have received widespread attention in recent years. In WiFi-based gesture recognition systems, the channel state information (CSI) carried by WiFi signals contains fine-grained information, which is commonly used to extract features of gesture activities. However, since the CSI patterns of the same gesture change across domains, these gesture recognition systems cannot effectively work without retraining in new domains, which will hinder the practical adoption of gesture recognition systems. Therefore, we propose a novel gesture recognition system that can address the issue of cross-domain recognition while achieving higher recognition accuracy for in-domain scenarios. Firstly, we employ CSI ratio and subcarrier selection to effectively eliminate noise from the CSI, and propose a method to reconstruct CSI sequence using low-frequency signals, which can effectively remove irrelevant noise in the high-frequency part and ensure the validity of the data. Next, we calculate the phase difference to explore the intrinsic features of gesture and convert the obtained data into RGB image. Finally, we use Dense Convolutional Network as backbone network, combined with dynamic convolution module, for RGB image recognition. Extensive experiments demonstrate that our proposed system can achieve 99.58% indomain gesture recognition, and its performance across new person and orientations is 99.15% and 98.31%, respectively.

Baogang Li

Jiale Chen

Xinlong Yu

Zhi Yang

Jingxi Zhang

Ad Hoc Networks

AD HOC NETWORKS 是一份国际性和档案性期刊，它提供了一个出版工具，可以完整地覆盖那些参与 AD HOC 和传感器网络领域的人感兴趣的所有主题。 AD HOC NETWORKS 考虑原创、高质量和未发表的贡献，解决了自组织和传感器网络的所有方面。感兴趣的具体领域包括但不限于：移动和无线 AD HOC 网络传感器网络无线局域网和个人区域网络家庭网络 AD HOC 自主智能系统的网络 AD HOC 和传感器网络的新架构自组织网络架构和协议传输层协议路由协议（单播、多播、地理广播等）媒体访问控制技术错误控制方案省电、低功耗和节能设计同步和调度问题移动性管理移动容错通信协议位置跟踪和基于位置的服务资源和信息管理安全和容错问题硬件和软件平台，系统和测试平台实验和原型结果服务质量问题跨层交互可扩展性问题协议的性能分析和模拟。

Ad Hoc Networks is an international and archival journal that provides a comprehensive publishing platform for researchers involved in the fields of ad hoc and sensor networks. The journal welcomes original, high-quality, and unpublished contributions that address all aspects of self-organizing and sensor networks. Specific areas of interest include, but are not limited to: mobile and wireless ad hoc networks, sensor networks, wireless local area networks and personal area networks, home networks, networking of autonomous intelligent systems, new architectures for ad hoc and sensor networks, self-organizing network architectures and protocols, transport layer protocols, routing protocols (unicast, multicast, geographic broadcasting, etc.), media access control techniques, error control schemes, energy-efficient and low-power designs, synchronization and scheduling issues, mobility management, mobile fault-tolerant communication protocols, location tracking and location-based services, resource and information management, security and fault-tolerance issues, hardware and software platforms, systems and testing platforms, experimental and prototype results, quality of service issues, cross-layer interactions, scalability issues, and performance analysis and simulation of protocols.

《Ad Hoc Networks》是一本国际性和档案性的期刊，旨在为参与自组织网络和传感器网络领域的研究者提供一个全面的出版平台。该期刊欢迎原创、高质量且未发表的研究成果，涵盖自组织网络和传感器网络的各个方面。具体关注的领域包括但不限于：移动和无线自组织网络、传感器网络、无线局域网和个人区域网络、家庭网络、自主智能系统的网络、新的自组织网络架构、协议、传输层协议、路由协议（单播、多播、地理广播等）、媒体访问控制技术、错误控制方案、省电和低功耗设计、同步和调度问题、移动性管理、移动容错通信协议、位置跟踪和基于位置的服务、资源和信息管理、安全和容错问题、硬件和软件平台、系统和测试平台、实验和原型结果、服务质量问题、跨层交互、可扩展性问题以及协议的性能分析和模拟。

Category	Quartile
计算机科学	3
计算机科学, 计算机信息系统	3
计算机科学, 电信学	3

Cross-domain gesture recognition via WiFi signals with deep learning

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