Simulation of human activities in smart spaces is becoming increasingly important due to the
growing demands on datasets that captures user-technology interactions. Such datasets are …

A globally ageing population is resulting in an increased prevalence of chronic conditions
which affect older adults. Such conditions require long-term care and management to …

Automated understanding and recognition of human activities and behaviors in a smart
space (eg, smart house) is of paramount importance to many critical human-centered …

A smart space simulation is cost-effective means to analyze human activities and design and
test human-centered intelligence in real smart spaces. A powerful smart space simulator not …

For smart home researchers, it is essential to test activity recognition algorithms with various
sets of sensory data. However, diverse sensory datasets are not always available due to …

Human activity recognition has the potential to become a real enabler for ambient assisted
living technologies. Research on this area demands the execution of complex experiments …

As demands for human activity recognition technology increase, simulation of human
activities for providing datasets and testing purposes is becoming increasingly important …

Autonomy is a key factor in the quality of life of a person. With the aging of the population, an
increasing number of people suffers from a reduced level of autonomy. That compromises …

Training machine learning models to identify human behavior is a difficult yet essential task
to develop autonomous and adaptive systems such as smart homes. These models require …

The field of human activity recognition from video data has recently made great strides.
However, the large amount of labelled data needed to train activity recognition models …