Wifi sensing on the edge: Signal processing techniques and challenges for real-world systems

SM Hernandez, E Bulut - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …

A survey of approaches to unobtrusive sensing of humans

JM Fernandes, JS Silva, A Rodrigues… - ACM Computing Surveys …, 2022 - dl.acm.org
The increasing amount of human-related and/or human-originated data in current systems is
both an opportunity and a challenge. Nevertheless, despite relying on the processing of …

Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach

T Koike-Akino, P Wang, M Pajovic, H Sun… - IEEE Access, 2020 - ieeexplore.ieee.org
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems

P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi… - arXiv preprint arXiv …, 2022 - arxiv.org
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

A survey on vital signs monitoring based on Wi-Fi CSI data

JCH Soto, I Galdino, E Caballero, V Ferreira… - Computer …, 2022 - Elsevier
The COVID-19 pandemic further highlighted the need to use low-cost remote monitoring
procedures for medical patients. Since the results reported in the literature have shown that …

Wifi-based real-time breathing and heart rate monitoring during sleep

Y Gu, X Zhang, Z Liu, F Ren - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Good quality sleep is essential for good health and sleep monitoring becomes a vital
research topic. This paper provides a low cost, continuous and contactless WiFi-based vital …

A CSI-based multi-environment human activity recognition framework

BA Alsaify, MM Almazari, R Alazrai, S Alouneh… - Applied Sciences, 2022 - mdpi.com
Passive human activity recognition (HAR) systems, in which no sensors are attached to the
subject, provide great potentials compared to conventional systems. One of the recently …

eHealth CSI: A Wi-Fi CSI dataset of human activities

I Galdino, JCH Soto, E Caballero, V Ferreira… - IEEE …, 2023 - ieeexplore.ieee.org
Recent studies corroborate Wi-Fi Channel State Information (CSI) usability to monitor
patients remotely and obtain health information non-invasively and with low-cost. In addition …

BeSense: Leveraging WiFi channel data and computational intelligence for behavior analysis

Y Gu, X Zhang, Z Liu, F Ren - IEEE Computational intelligence …, 2019 - ieeexplore.ieee.org
The ever-evolving informatics technology has gradually bounded human and computer in a
compact way. Understanding user behavior becomes a key enabler in many fields such as …

Contactless body movement recognition during sleep via WiFi signals

Y Cao, F Wang, X Lu, N Lin, B Zhang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Body movement is one of the most important indicators of sleep quality for elderly people
living alone. Body movement is crucial for sleep staging and can be combined with other …