The authors investigate the feasibility of classifying different human activities using ultra-
wide band (UWB) radar. Eight human subjects performing eight different activities are …

In this paper, we classify seven different human activities measured by a ultra wideband
(UWB) radar using a Support Vector Machine (SVM). The classification is done using the …

Human motion recognition is crucial for surveillance, search and rescue operation, smart
homes, and senior care. In daily life, there exists various kinds of human motions with widely …

The feasibility of classifying different human activities based on micro-Doppler signatures is
investigated. Measured data of 12 human subjects performing seven different activities are …

The ability to detect the presence as well as classify the activities of individuals behind
visually obscuring structures is of significant benefit to police, security and emergency …

Since years, the number of seniors increases while, at the same time, we observe a
diminution of the potential support ratio. In order to overcome this limitation, solutions …

Ultra-wideband (UWB) through-wall radar has a wide range of applications in non-contact
human information detection and monitoring. With the integration of machine learning …

This paper presents the results of our experimental investigation into how different
environments impact the classification of human motion using radar micro-Doppler (MD) …

This paper analyzes and discusses the capability of human being detection using impulse
ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic …

In this paper, a multi-classification algorithm for human motion recognition based on Impulse-
Radio Ultra-wideband (IR-UWB) radar is presented. The algorithm includes three parts. First …