Over the past few years, a particular interest has been focused toward activity recognition
domain. Indeed, human activity recognition pays more attention on the extraction of relevant …

Activity recognition is an important step towards monitoring and evaluating the functional
health of an individual, and it potentially promotes human-centric ubiquitous applications in …

Activity recognition is an important step towards automatically measuring the functional
health of individuals in smart home settings. Since the inherent nature of human activities is …

Human behavior modeling in smart environments is a growing research area treating
several challenges related to ubiquitous computing, pattern recognition, and ambient …

As research in smart homes and activity recognition is increasing, it is of ever increasing
importance to have benchmarks systems and data upon which researchers can compare …

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 …

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

Activity recognition has received considerable attention in many research fields, such as
industrial and healthcare fields. However, many researches about activity recognition have …

The proliferation of sensors in smart homes makes it possible to monitor human activities,
routines, and complex behaviors in an unprecedented way. Hence, human activity …

In the last few decades, life expectancy has been increasing. This has resulted in a higher
proportion of older adults and increased prevalence of chronic conditions, posing …