Device-Free Localization for Human Activity Monitoring

Abstract

Over the past few decades, human activity monitoring has grabbed considerable research attentions due to greater demand for human-centric applications in healthcare and assisted living. For instance, human activity monitoring can be adopted in smart building system to improve the building management as well as the quality of life, especially for the elderly people who are facing health deterioration due to aging factor, without neglecting the important aspects such as safety and energy consumption. The existing human monitoring technology requires additional sensors, such as GPS, PIR sensors, video camera, etc., which incur cost and have several drawbacks. There exist various solutions of using other technologies for human activity monitoring in a smartly controlled environment, either deviceassisted or device-free. A radio frequency (RF)-based device-free indoor localization, known as device-free localization (DFL), has attracted a lot of research effort in recent years due its simplicity, low cost, and compatibility with the existing hardware equipped with RF interface. This chapter introduces the potential of RF signals, commonly adopted for wireless communications, as sensing tools for DFL system in human activity monitoring. DFL is based on the concept of radio irregularity where human existence in wireless communication field may interfere and change the wireless characteristics.

Human activity recognition-based path planning for autonomous vehicles

“…Most popular branches are sensor and vision based. HAR based on sensor data can be separated into three sub-branches regarding sensor's deployment: based on wearable sensors, object tagged and dense sensing [11].…”

A tag-less ultrawide-band passive tracking system

“…Instead, the device-free approach is getting increasing attention as a solution in different application scenarios where we can not -or do not want to -equip the entity to be tracked with an electronic device. For example, as reported in [17], seniors' assistance or people with brain-related diseases assistance is the typical case in which the everyday duty of wearing, activating and recharging an electronic device may become a critical task. This is a typical case in which vision-based human activity monitoring comes handy, although it suffers several drawbacks, such as energy consumption, cost, and privacy concerns.…”

RF Sensing Technologies for Assisted Daily Living in Healthcare: A Comprehensive Review

“…Nevertheless, both sensor-based and vision-based methods come at high costs thanks expensive devices, deployment and maintenance overhead. Some of the advantages and limitations are shown in Table 1 [5].…”