• Login
  • Sign-Up



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

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

ISBN: 978-989-758-220-2

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.

PDF ImageFull Text

Sign In Guest: Register as new SciTePress user or Join INSTICC now for free.

Sign In SciTePress user: please login.

Sign In INSTICC Members: please login. If not a member yet, Join INSTICC now for free.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address INSTICC members have higher download limits (free membership now)

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 IntelligenceISBN 978-989-758-220-2, 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},


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

Sorted by: Show papers

Note: The preferred Subjects/Areas/Topics, listed below for each paper, are those that match the selected paper topics and their ontology superclasses.

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

Show authors

Note: The preferred Subjects/Areas/Topics, listed below for each author, are those that more frequently used in the author's papers.