Human activity recognition has been a significant goal of computer vision since its inception
and has developed considerably in the last years. Recent approaches to this problem …

Human Activity Recognition (HAR) has been attempted by various sensor modalities like
vision sensors, ambient sensors, and wearable sensors. These heterogeneous sensors are …

Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

We present a novel radar-based indoor human gross motor activity classifier, which employs
L1-norm linear discriminant analysis (L1-LDA) to identify low-rank subspaces whereon …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Radio-frequency-based noncooperative monitoring of humans has numerous applications
ranging from law enforcement to ubiquitous sensing applications such as ambient assisted …

Human activity recognition (HAR) is an important research area in computer vision due to its
vast range of applications. Specifically, the past decade has witnessed enormous growth in …

Radar for indoor monitoring is an emerging area of research and development, covering
and supporting different health and wellbeing applications of smart homes, assisted living …

This paper tackles the Human Activity Recognition (HAR) in the kitchen environment using
radar as the sensing tool. The setup includes two Frequency Modulated Continuous Wave …

Research in sensor based human activity recognition (HAR) has been a core concern of the
mobile and ubiquitous computing community. Sophisticated systems have been developed …