In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …

Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …

Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …

Due to wearables' popularity, human activity recognition (HAR) plays a significant role in
people's routines. Many deep learning (DL) approaches have studied HAR to classify …

The application of pattern recognition techniques to data collected from accelerometers
available in off-the-shelf devices, such as smartphones, allows for the automatic recognition …

Several types of sensors have been available in off-the-shelf mobile devices, including
motion, magnetic, vision, acoustic, and location sensors. This paper focuses on the fusion of …

The motion activities performed by a mobile or wearable device user are characteristic of the
user and the accuracy of detection of motion activity context can be improved by …