Integrated Human Activity Sensing and Communications

Article Computer Science, Information Systems

IMep: Device-Free Multiplayer Step Counting With WiFi Signals

Jing He et al.

Summary: Currently, most mature WiFi-based step applications can only count the steps of a single individual, and they are unable to capture the amplitude information of each person's overall actions in multiuser scenes. This paper introduces IMep, a novel device-free system based on WiFi that can obtain the amplitude information of each person's overall step actions and count the steps of multiple people simultaneously. The proposed system achieves this by establishing a Multiplayer Stepping Amplitude Relation Model (MSARM) and designing a Multiplayer Amplitude Decomposition Algorithm (MADA) using Block Term Decomposition (BTD), as well as utilizing a new Moving Energy Method (MEM) for clearer and more accurate step counting.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2023)

Add to Collection

Article Computer Science, Information Systems

Enabling Joint Communication and Radar Sensing in Mobile Networks-A Survey

J. Andrew Zhang et al.

Summary: This paper presents a comprehensive survey of the motivation, methodologies, challenges, and research opportunities in realizing a perceptive mobile network (PMN), which integrates sensing and communication capabilities. The PMN aims to provide a ubiquitous radio sensing platform and enable novel smart applications without compromising communication services. The paper discusses the JCAS technology, different types of JCAS systems, the framework of PMN, required system modifications, and stimulating research problems and potential solutions.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Enhancing RF Sensing with Deep Learning: A Layered Approach

Tianyue Zheng et al.

Summary: RF sensing utilizes deep learning to create direct mappings from the RF domain to target domains, avoiding complex RF physical modeling. By adding functional layers on top of basic modules, more powerful generalizability and flexible applicability can be achieved.

IEEE COMMUNICATIONS MAGAZINE (2021)

Add to Collection

Article Geochemistry & Geophysics

Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures

Jacopo Pegoraro et al.

Summary: This study explores the use of backscattered mm-wave radio signals for tracking and identifying humans in indoor environments. A system is proposed to handle the complexity of multiple people moving simultaneously in the same space, incorporating processing steps such as signal filtering, Doppler signature separation, and user identification. The integration of these processing stages is critical for achieving robustness and accuracy in multiuser settings, demonstrating promising results in real-life scenarios.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Add to Collection

Review Computer Science, Artificial Intelligence