Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

Recent researches on sensor based human activity recognition (HAR) are mostly devoted to
designing various network architectures to enhance their feature representation capacity for …

Recently, human activity recognition (HAR) that uses wearable sensors has become a
research hotspot due to its wide applications in a large variety of real-world scenarios …

In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …

Numerous learning-based techniques for effective human activity recognition (HAR) have
recently been developed. Wearable inertial sensors are critical for HAR studies to …

Recent years have witnessed significant success of convolutional neural networks (CNNs)
in human activity recognition (HAR) using wearable sensors. Nevertheless, prior works have …

Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …

During the past decade, human activity recognition (HAR) using wearable sensors has
become a new research hot spot due to its extensive use in various application domains …

This paper presents a comprehensive dataset intended to evaluate passive Human Activity
Recognition (HAR) and localization techniques with measurements obtained from …