The global population is aging; projections show that by 2050, more than 20% of the
population will be aged over 64. This will lead to an increase in aging related illness, a …

As computers are becoming more and more a part of our everyday life, the vision of Mark
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …

Wellbeing is often affected by health-related conditions. Among them are nutrition-related
health conditions, which can significantly decrease the quality of life. We envision a system …

With the global population aging, the demand for technologies facilitating independent
living, especially for those with cognitive impairments, is increasing. This paper addresses …

Activity recognition (AR) plays an important role in situation aware systems. Recently, deep
learning approaches have shown promising results in the field of AR. However, their …

Providing ground truth is essential for activity recognition and behaviour analysis as it is
needed for providing training data in methods of supervised learning, for providing context …

Labelling user data is a central part of the design and evaluation of pervasive systems that
aim to support the user through situation-aware reasoning. It is essential both in designing …

Machine Learning is a research field with substantial relevance for many applications in
different areas. Because of technical improvements in sensor technology, its value for real …

The research of sensor-based human activity recognition has been attracting increasing
attention over years as it is playing an important role in various human-beneficiary …

There are various activity recognition approaches that rely on manual definition of
precondition-effect rules to describe user behaviour. These rules are later used to generate …