Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …

Human activity recognition (HAR) has become a research hotspot in the field of artificial
intelligence and pattern recognition. However, the HAR system still has some deficiencies in …

This paper focuses on optimal sensor positioning for monitoring activities of daily living and
investigates different combinations of features and models on different sensor positions, ie …

Fall is one of the major cause of deaths in elderly along with other chronic diseases in all
over the world. Therefore, it is important to find a cost effective, non-intrusive and lightweight …

In the domain of modern deep learning and classification techniques, the convolutional
neural network (CNN) stands out as a highly successful and preferred method for image …

With the rapid growth and commercialization of wearable sensor technology, the research
community foresees great potential of Body Area Sensor Network (BASN) applications in the …

Health monitoring systems based on the internet of things (IoT) improve patient well-being
and reduce mortality risks. Machine learning techniques are most helpful in early fall …

Abstract The Human Activity Recognition (HAR) research area showed great advances in
the last decade, achieving excellent prediction performances and great applicability, which …

A wireless sensor network is a network that can design a selforganizing structure and
provides effective support for several protocols such as routing, locating, discovering …

Abstract Sensor-based Human Activity Recognition (HAR) has been explored by many
research communities and industries for various applications. Conventional pattern …