A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Push the limit of acoustic gesture recognition

Y Wang, J Shen, Y Zheng - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arXiv preprint arXiv:1906.05074, 2019 - arxiv.org
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Multi-touch in the air: Device-free finger tracking and gesture recognition via COTS RFID

C Wang, J Liu, Y Chen, H Liu, L Xie… - … -IEEE conference on …, 2018 - ieeexplore.ieee.org
Recently, gesture recognition has gained considerable attention in emerging applications
(eg, AR/VR systems) to provide a better user experience for human-computer interaction …

Accurate localization of tagged objects using mobile RFID-augmented robots

X Liu, J Zhang, S Jiang, Y Yang, K Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper studies the problem of tag localization using RFID-augmented robots, which is
practically important for promising warehousing applications, eg, automatic item fetching …

QGesture: Quantifying gesture distance and direction with WiFi signals

N Yu, W Wang, AX Liu, L Kong - Proceedings of the ACM on Interactive …, 2018 - dl.acm.org
Many HCI applications, such as volume adjustment in a gaming system, require quantitative
gesture measurement for metrics such as movement distance and direction. In this paper …

MI-Mesh: 3D human mesh construction by fusing image and millimeter wave

H Ding, Z Chen, C Zhao, F Wang, G Wang… - Proceedings of the …, 2023 - dl.acm.org
Estimating 3D human mesh is appealing for various application scenarios. Current
mainstream solution predicts the meshes either from the image or the human reflected RF …

Modeling RFID signal reflection for contact-free activity recognition

Y Wang, Y Zheng - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
Wireless sensing techniques for tracking human activities have been vigorously developed
in recent years. Yet current RFID based human activity recognition techniques need either …

Towards domain-independent complex and fine-grained gesture recognition with RFID

C Dian, D Wang, Q Zhang, R Zhao, Y Yu - Proceedings of the ACM on …, 2020 - dl.acm.org
Gesture recognition plays a fundamental role in emerging Human-Computer Interaction
(HCI) paradigms. Recent advances in wireless sensing show promise for device-free and …

When RFID meets deep learning: Exploring cognitive intelligence for activity identification

X Fan, F Wang, F Wang, W Gong… - IEEE wireless …, 2019 - ieeexplore.ieee.org
Cognitive communication and computing have seen deep penetration in many networking
areas in the past decades. With the recent advances in big data analysis and deep learning …