Wireless Health Monitoring using Passive WiFi Sensing

04/03/2017
by   U. M. Khan, et al.
0

This paper presents a two-dimensional phase extraction system using passive WiFi sensing to monitor three basic elderly care activities including breathing rate, essential tremor and falls. Specifically, a WiFi signal is acquired through two channels where the first channel is the reference one, whereas the other signal is acquired by a passive receiver after reflection from the human target. Using signal processing of cross-ambiguity function, various features in the signal are extracted. The entire implementations are performed using software defined radios having directional antennas. We report the accuracy of our system in different conditions and environments and show that breathing rate can be measured with an accuracy of 87 also show a 98 tremor. The results indicate that passive WiFi systems show great promise in replacing typical invasive health devices as standard tools for health care.

READ FULL TEXT

page 5

page 6

research
07/14/2023

ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication

Recent advances in wireless communication with the enormous demands of s...
research
03/06/2023

Obfuscation of Human Micro-Doppler Signatures in Passive Wireless RADAR

When wireless communication signals impinge on a moving human they are a...
research
09/13/2021

Single-Target Real-Time Passive WiFi Tracking

Device-free human tracking is an essential ingredient for ubiquitous wir...
research
08/09/2020

Anxiety Detection Leveraging Mobile Passive Sensing

Anxiety disorders are the most common class of psychiatric problems affe...
research
12/03/2021

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing

Wireless radio channels are known to contain information about the surro...
research
01/09/2022

A Survey of Passive Sensing in the Workplace

As new technology inches into every aspect of our lives, there is no pla...
research
12/02/2022

A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data

This paper presents an algorithm that relies on a series of dense and de...

Please sign up or login with your details

Forgot password? Click here to reset