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Device-free human activity recognition plays a pivotal role in wireless sensing. However, current systems often fail to accommodate signal transmission through walls or necessitate dedicated noise removal algorithms. To overcome these…

Systems and Control · Electrical Eng. & Systems 2024-10-04 Junshuo Liu , Yunlong Huang , Jianan Zhang , Rujing Xiong , Robert Caiming Qiu

Gait recognition (GR) is a growing biometric modality used for person identification from a distance through visual cameras. GR provides a secure and reliable alternative to fingerprint and face recognition, as it is harder to distinguish…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Muhammad Imran Sharif , Mehwish Mehmood , Muhammad Irfan Sharif , Md Palash Uddin

Ray tracing accelerated with graphics processing units (GPUs) is an accurate and efficient simulation technique of wireless communication channels. In this paper, we extend a GPU-accelerated ray tracer (RT) to support the effects of…

Signal Processing · Electrical Eng. & Systems 2024-02-21 Sara Sandh , Hamed Radpour , Benjamin Rainer , Markus Hofer , Thomas Zemen

Gait has been considered as a promising and unique biometric for person identification. Traditionally, gait data are collected using either color sensors, such as a CCD camera, depth sensors, such as a Microsoft Kinect, or inertial sensors,…

Computer Vision and Pattern Recognition · Computer Science 2018-11-02 Qin Zou , Lihao Ni , Qian Wang , Qingquan Li , Song Wang

Using radio-frequency (RF) sensing techniques for human posture recognition has attracted growing interest due to its advantages of pervasiveness, contact-free observation, and privacy protection. Conventional RF sensing techniques are…

Signal Processing · Electrical Eng. & Systems 2019-12-24 Jingzhi Hu , Hongliang Zhang , Boya Di , Lianlin Li , Lingyang Song , Yonghui Li , Zhu Han , H. Vincent Poor

Biometric identification systems have become immensely popular and important because of their high reliability and efficiency. However person identification at a distance, still remains a challenging problem. Gait can be seen as an…

Computer Vision and Pattern Recognition · Computer Science 2019-03-26 Daksh Thapar , Divyansh Aggarwal , Punjal Agarwal , Aditya Nigam

As an important biomarker for human identification, human gait can be collected at a distance by passive sensors without subject cooperation, which plays an essential role in crime prevention, security detection and other human…

Computer Vision and Pattern Recognition · Computer Science 2022-08-31 Lang Deng , Jianfei Yang , Shenghai Yuan , Han Zou , Chris Xiaoxuan Lu , Lihua Xie

Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons. However, existing datasets and methods cannot satisfactorily deal with the most…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Xuqian Ren , Saihui Hou , Chunshui Cao , Xu Liu , Yongzhen Huang

Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades. Because of its nature as a long-distance biometric trait, gait…

Computer Vision and Pattern Recognition · Computer Science 2020-09-18 BingZhang Hu , Yu Guan , Yan Gao , Yang Long , Nicholas Lane , Thomas Ploetz

Gait recognition is a rapidly advancing vision technique for person identification from a distance. Prior studies predominantly employed relatively shallow networks to extract subtle gait features, achieving impressive successes in…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Chao Fan , Saihui Hou , Yongzhen Huang , Shiqi Yu

Gait recognition is a biometric technology that recognizes the identity of humans through their walking patterns. Compared with other biometric technologies, gait recognition is more difficult to disguise and can be applied to the condition…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Ming Wang , Xianda Guo , Beibei Lin , Tian Yang , Zheng Zhu , Lincheng Li , Shunli Zhang , Xin Yu

Skeleton-based gait recognition models usually suffer from the robustness problem, as the Rank-1 accuracy varies from 90\% in normal walking cases to 70\% in walking with coats cases. In this work, we propose a state-of-the-art robust…

Computer Vision and Pattern Recognition · Computer Science 2022-04-11 Cun Zhang , Xing-Peng Chen , Guo-Qiang Han , Xiang-Jie Liu

Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camera and the appearance of individuals. Current methods for…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Alireza Sepas-Moghaddam , Saeed Ghorbani , Nikolaus F. Troje , Ali Etemad

Gait is becoming popular as a method of person re-identification because of its ability to identify people at a distance. However, most current works in gait recognition do not address the practical problem of occlusions. Among those which…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Ayush Gupta , Siyuan Huang , Rama Chellappa

Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent literature, these 2D representations fall short of capturing…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Xinzhu Li , Juepeng Zheng , Yikun Chen , Xudong Mao , Guanghui Yue , Wei Zhou , Chenlei Lv , Ruomei Wang , Fan Zhou , Baoquan Zhao

RF sensor networks are used to localize people indoor without requiring them to wear invasive electronic devices. These wireless mesh networks, formed by low-power radio transceivers, continuously measure the received signal strength (RSS)…

Networking and Internet Architecture · Computer Science 2014-08-01 Cesare Alippi , Maurizio Bocca , Giacomo Boracchi , Neal Patwari , Manuel Roveri

Gait recognition is a promising biometric technology for identification due to its non-invasiveness and long-distance. However, external variations such as clothing changes and viewpoint differences pose significant challenges to gait…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Yan Sun , Xueling Feng , Liyan Ma , Long Hu , Mark Nixon

Gait recognition is a biometric modality that identifies individuals from their characteristic walking patterns. Unlike conventional biometric traits, gait can be acquired at a distance and without active subject cooperation, making it…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Mohammed Asad , Dinesh Kumar Vishwakarma

The use of gait for person identification has important advantages such as being non-invasive, unobtrusive, not requiring cooperation and being less likely to be obscured compared to other biometrics. Existing methods for gait recognition…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Adrian Cosma , Emilian Radoi

Reconfigurable intelligent surface (RIS)-empowered communication is one of the promising 6G technologies that allows the conversion of the wireless channel into an intelligent transmit entity by manipulating the impinging waves using…

Information Theory · Computer Science 2020-09-01 I. Yildirim , A. Uyrus , E. Basar
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