Smart buildings play a crucial role toward decarbonizing society, as globally buildings emit
about one-third of greenhouse gases. In the last few years, machine learning has achieved …

Transfer Learning is a well-studied concept in machine learning, that relaxes the assumption
that training and testing data need to be drawn from the same distribution. Recent success in …

In this paper, we introduce a system of integrating activity recognition and collecting nursing
care records at nursing care facilities as well as activity labels and sensors through …

Human occupancy counting is crucial for both space utilisation and building energy
optimisation. In the current article, we present a semi-supervised domain adaptation method …

Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …

Sensor-based human activity recognition has various applications in the arena of
healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to …

Human occupancy counting is crucial for both space utilisation and building energy
optimisation. In the current article, we present a semi-supervised domain adaptation method …

Computational models that formalize complex human behaviors enable study and
understanding of such behaviors. However, collecting behavior data required to estimate the …

In this study, we propose novel gamified active learning and inaccuracy detection for
crowdsourced data labeling for an activity recognition system using mobile sensing …

Convolution Neural Network (CNN) filters learned on one domain can be used as feature
extractors on another similar domain. Transferring filters allow reusing datasets across …