Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Human physical activity recognition from inertial sensors is shown to be a successful
approach for monitoring elderly individuals and children in indoor and outdoor …

In recent years, interest in monitoring Physical Activity (PA) has increased due to its positive
effect on health. New technological devices have been proposed for this purpose, mainly …

Advancements in wearable sensor technologies and the digitization of medical records have
contributed to the unprecedented ubiquity of biomedical time series data. Data-driven …

Fall detection has become an area of interest in recent years, as quick response to these
events is critical to reduce the morbidity and mortality rate. In order to ensure proper fall …

Human activity recognition (HAR) is crucial in various fields, including healthcare, assistive
technologies, and human-computer interaction. Recognizing hand-based micro activities …

Nowadays human activity recognition (HAR) has become an indispensable part of the
health monitoring system. Unhealthy human daily activities may lead to many incurable …

Mental health and emotional well-being have significant influence on physical health, and
are especially important for healthy aging. Continued progress on sensors and …

Automatic classification and monitoring the human activity using sensors is a decisive
technology for Ambient Assisted Living (AAL). Early recognition approaches involved in …

The need for rehabilitation has increased over the years. The individualisation of
rehabilitation plays an important role in improving the lives of people in need. Within this …