Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

Recognizing human activities in their daily living enables the development and widely
usage of human-centric applications, such as health monitoring, assisted living, etc …

In recent literatures, WiFi signals have been widely used to" sense" people's locations and
activities. Researchers have exploited the characteristics of wireless signals to" hear" …

We investigate the use of WiFi Received Signal Strength Information (RSSI) at a mobile
phone for the recognition of situations, activities and gestures. In particular, we propose a …

This paper presents a recognition scheme for fine-grain gestures. The scheme leverages
directional antenna and short-range wireless propagation properties to recognize a …

Robust and accurate human activity recognition (HAR) systems are essential to many
human-centric services within active assisted living and healthcare facilities. Traditional …

Recently, significant efforts are made to explore device-free human activity recognition
techniques that utilize the information collected by existing indoor wireless infrastructures …

We consider the recognition of activities from passive entities by analysing radio-frequency
(RF)-channel fluctuation. In particular, we focus on the recognition of activities by active …

Human motion detection and activity recognition are becoming vital for the applications in
smart homes. Traditional Human Activity Recognition (HAR) mechanisms use special …