Background Computational state space models (CSSMs) enable the knowledge-based
construction of Bayesian filters for recognizing intentions and reconstructing activities of …

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 …

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 …

Environments play an important role in multi-agent systems. They present the context agents
operate in. When testing multi-agent systems by simulation, the environment and partly …

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 …

Several emerging approaches to activity recognition (AR) combine symbolic representation
of user actions with probabilistic elements for reasoning under uncertainty. These …

Background: Dementia impairs spatial orientation and route planning, thus often affecting
the patient's ability to move outdoors and maintain social activities. Situation-aware …

Nutrition related health conditions can seriously decrease quality of life; a system able to
monitor the kitchen activities and eating behaviour of patients could provide clinicians with …

Engagement in cognitively stimulating activities is today among the most effective measures
against the decline of cognitive abilities due to dementing disorders. Outdoor and social …