Human Activity Recognition (HAR) has become one of the leading research topics of the last
decade. As sensing technologies have matured and their economic costs have declined, a …

Data annotation is a time-consuming process posing major limitations to the development of
Human Activity Recognition (HAR) systems. The availability of a large amount of labeled …

The strong integration of consumer electronics in everyday life offers many new investigative
opportunities. In particular, digital traces from smartphones, smartwatches and activity …

Unhealthy behaviors regarding nutrition are a global risk for health. Therefore, the
healthiness of an individual's nutrition should be monitored in the medium and long term. A …

Delivering effortless interactions and appropriate interventions through pervasive systems
requires making sense of multiple streams of sensor data. This is particularly challenging …

Ubiquitous eHealth systems based on sensor technologies are seen as key enablers in the
effort to reduce the financial impact of an ageing society. At the heart of such systems sit …

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 …

The SPHERE project is devoted to advancing eHealth in a smart-home context, and
supports full-scale sensing and data analysis to enable a generic healthcare service. We …

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 …