Human activity recognition has a significant impact on people's daily lives. The need to infer
human activities is prominent in many human-centric applications, such as healthcare and …

Audio-based activity recognition is an essential task in a wide range of human-centric
applications. However, most of the work predominantly focuses on event detection, machine …

In the era of pervasive computing and wearable technology, the accurate recognition of
human activities has gained paramount importance across a spectrum of applications, from …

Activity recognition has gained attention due to the rapid development of
microelectromechanical sensors. Numerous human-centric applications in healthcare …

Sensor-based human activity recognition aims at detecting various physical activities
performed by people with ubiquitous sensors. Different from existing deep learning-based …

Human activity recognition has become essential to a wide range of applications, such as
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …

Human Activity Recognition (HAR) has emerged as a potential research topic for smart
healthcare owing to the fast growth of wearable and smart devices in recent years. The …

The technological advancement in sensor technology and pervasive computing has brought
smart devices into our daily life. Due to the continuous connectivity of the internet with our …

Human activity recognition using multiple sensors is a challenging but promising task in
recent decades. In this paper, we propose a deep multimodal fusion model for activity …

Following the technological advancement and the constantly emerging assisted living
applications, sensor-based activity recognition research receives great attention. Until …