During last decade, smart homes in which the activities of the residents are monitored automatically have been developed and demonstrated. However, smart homes with multiple residents still remains an open challenge. In order to tackle the multiple …
Analysis of human behaviour for deducing health and well-being information is one of the contemporary challenges given the ageing in place. To this end, existing and newly developed machine learning methods are needed to be evaluated using annotated …
Human behavior modeling enables many applications for smart cities, smart homes, mobile phones and other domains. We present a hierarchical hidden Markov model for human activity recognition that uses semi-supervised learning to automatically learn …