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Authors: Zahra Gharaee 1 ; Peter Gärdenfors 1 and Magnus Johnsson 2

Affiliations: 1 Lund University, Sweden ; 2 Lund University and NRNU MEPhI, Sweden

Keyword(s): Self-organizing Maps, Neural Networks, Action Perception, Hierarchical Models.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Cognitive Robotics ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Robotics and Automation ; Self Organizing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods ; Vision and Perception

Abstract: We present a novel action recognition system that is able to learn how to recognize and classify actions. Our system employs a three-layered neural network hierarchy consisting of two self-organizing maps together with a supervised neural network for labelling the actions. The system is equipped with a module that pre-processes the 3D input data before the first layer, and a module that transforms the activity elicited over time in the first layer SOM into an ordered vector representation before the second layer, thus achieving a time invariant representation. We have evaluated our system in an experiment consisting of ten different actions selected from a publicly available data set with encouraging result.


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Paper citation in several formats:
Gharaee, Z.; Gärdenfors, P. and Johnsson, M. (2017). Hierarchical Self-organizing Maps System for Action Classification. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-220-2; ISSN 2184-433X, pages 583-590. DOI: 10.5220/0006199305830590

author={Zahra Gharaee. and Peter Gärdenfors. and Magnus Johnsson.},
title={Hierarchical Self-organizing Maps System for Action Classification},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},


JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Hierarchical Self-organizing Maps System for Action Classification
SN - 978-989-758-220-2
IS - 2184-433X
AU - Gharaee, Z.
AU - Gärdenfors, P.
AU - Johnsson, M.
PY - 2017
SP - 583
EP - 590
DO - 10.5220/0006199305830590