Recent advancements in the Internet of Medical Things (IoMT) have revolutionized the
healthcare sector, making it an active research area in the academic and industrial sectors …

Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

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 …

Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …

Effective human activity recognition can be incredibly beneficial in big data applications like
ambient healthcare-supported living. Deep learning (DL) techniques have considerably …

With continued improvements in wireless sensing technology, the notion of the Internet of
Things (IoT) has been widely adopted and has become pervasive owing to its broad …

The popularity of convolutional architecture has made sensor-based human activity
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …

Convolutional neural networks (CNNs) have shown great promise in human activity
recognition (HAR), but long-term dependencies in time series data can be difficult to capture …

Wearable sensor-based human activity recognition (HAR) is the study that deals with sensor
data to understand human movement and behavior. In a HAR model, feature extraction is …

Sensor-based human activity recognition (HAR) has drawn extensive attention from the
research community due to its potential applications in various domains, including …