This book aims to capture recent advances and breakthroughs in in-home radar monitoring
of human motions and activities. It addresses three key attributes of radar for in-door human …

Our society will face a notable demographic shift in the near future. According to a United
Nations report, the ratio of the elderly population (aged 60 years or older) to the overall …

Every year, diverse types of safety accidents cause major damage to human life and
property. In particular, failure to suppress safety accidents caused by fires during the early …

Early detection of fire is key to mitigate fire related damages. This paper presents a
differential pyro-electric infrared (PIR) sensor and deep neural networks (DNNs) based …

Passive infrared (PIR) sensors are the current choice for individual presence detection in
buildings. A major problem is that PIR sensors only detect moving individuals, which often …

In this paper, a multimodal hand gesture detection and recognition system using differential
Pyroelectric Infrared (PIR) sensors and a regular camera is described. Any movement within …

Human Activity Recognition (HAR) has attracted much attention in the last two decades with
applications such as remote health monitoring, security and surveillance, and smart …

In the present work, an experimental investigation was performed by varying the fuel/air ratio
of a liquid-fuel gas turbine derived burner in the non-premixed mode, until an ultra-lean …

This paper addresses the problem of detecting epileptic seizures experienced by a human
subject during sleep. Commonly used solutions to this problem mostly rely on detecting …

A robust fusion algorithm based on Radial Basis Function (RBF) neural network with Takagi–
Sugeno (TS) fuzzy model is proposed in view of the data loss, data distortion or signal …