Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …

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 …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Human activity recognition (HAR) techniques are playing a significant role in monitoring the
daily activities of human life such as elderly care, investigation activities, healthcare, sports …

Traditional methods of human activity recognition usually require a large amount of strictly
labeled data for training classifiers. However, it is hard for one to keep a fixed activity when …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Human action recognition is an important research area in the field of computer vision that
can be applied in surveillance, assisted living, and robotic systems interacting with people …

Objective Poor lifestyle represents a health risk factor and is the leading cause of morbidity
and chronic conditions. The impact of poor lifestyle can be significantly altered by …

The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …