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

The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …

The ability to automatically recognize a person's behavioral context can contribute to health
monitoring, aging care, and many other domains. Validating context recognition in the wild is …

Purpose Currently, ubiquitous smartphones embedded with various sensors provide a
convenient way to collect raw sequence data. These data bridges the gap between human …

Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …

Existing accelerometer-based human activity recognition (HAR) benchmark datasets that
were recorded during free living suffer from non-fixed sensor placement, the usage of only …

A correct balance of nutrient intake is very important, particularly in infants. When the body is
deprived of essential nutrients, it can lead to serious disease and organ deterioration which …

Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …

Background: Detecting of human movements is an important task in various areas such as
healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile …

Over recent years, we have witnessed the development of mobile and wearable
technologies to collect data from human vital signs and activities. Nowadays, wrist …