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Online recognition of unsegmented actions with hierarchical SOM architecture

Automatic recognition of an online series of unsegmented actions requires a method for segmentation that determines when an action starts and when it ends. In this paper, a novel approach for recognizing unsegmented actions in online test experiments is proposed. The method uses self-organizing neur...

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Detalles Bibliográficos
Autor principal: Gharaee, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935837/
https://www.ncbi.nlm.nih.gov/pubmed/32700120
http://dx.doi.org/10.1007/s10339-020-00986-4