Hierarchical Multi-label Classification for Activity Recognition
Nina ReÅ¡cic, Mitja LuÅ¡trek
Progress in Signals and Telecommunication Engineering, Vol. 8, No. 1, 2019.
DOI: 
Link: http://www.dline.info/pste/fulltext/v8n1/pstev8n1_2.pdf
Abstract:
researched. Most commonly classification considers all activities to be â€˜equalâ€™ (we will use term at classification).
However, intuition suggests better results could be achieved using a hierarchical approach for classification. In this
paper we compare three different approaches to classify activities: (i) Flat classification - classes are equal and we build one
model to classify all of them; (ii) Multi-model hierarchical classification - classes are arranged in trees, we build different
models to classify activities on different levels. We apply two different approaches; (iii) Hierarchical classification using CLUS
software1.