Abstract
The article considers the problem of undefined complex classes activity recognition. The human activity recognition relevance in the field of production and services is presented. The classification of physical activity types is described. The possibilities of using methods based on data and knowledge for human activity recognition are considered. An analysis of zero-shot learning is given. A functional model of the method for undefined complex human activity recognition is proposed. The datasets are described. The HH101 and HH105 datasets obtained from CASAS smart homes were used to conduct experimental studies. An experimental study of the developed method for human activity recognition is carried out.
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