Advancement in smart sensing and computing technologies has provided a dynamic
opportunity to develop intelligent systems for human activity monitoring and thus assisted …

In recent years, with the evolution of internet-of-things and smart sensing technologies,
sensor-based physical activity recognition has gained substantial prominence, and …

Smart sensing devices are furnished with an array of sensors, including locomotion sensors,
which enable continuous and passive monitoring of human activities for the ambient …

Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …

In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

The power of end-to-end deep learning techniques to automatically learn latent high-level
features from raw signals has been demonstrated in numerous application fields, however …

Automated daily living activity recognition is a relevant task since it allows to assess the
health status of a subject both objectively and remotely. Having a reliable measure is …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

Activity recognition requires further research to enable a multitude of human-centric
applications in the smart home environment. Currently, the major challenges in activity …

In Human Activity Recognition (HAR), supervised Machine Learning methods are
predominantly used, making availability of datasets a major issue for research in the field. In …