Human action recognition based on the angle data of limbs

Maimaitimin Maierdan, Keigo Watanabe, Shoichi Maeyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An approach to human action recognition is presented in this paper. This paper is part of an human behavior estimation system which is divided into two parts: human action recognition and object recognition. In this part, we use Microsoft Kinect to capture human joint data. And calculate the limb angles. Using these angles we can train an Artificial Neural Network(ANN) to recognize these actions, which in this case are 'walking' and 'running'. In this paper, ANN is discussed as a main part of the current research. We designed a two stage ANN, which can minimize the impact of noise data. Whole processing is simulated by Scilab.

Original languageEnglish
Title of host publication2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-144
Number of pages5
ISBN (Electronic)9781479959556
DOIs
Publication statusPublished - Feb 18 2014
Event2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
Duration: Dec 3 2014Dec 6 2014

Other

Other2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
CountryJapan
CityKitakyushu
Period12/3/1412/6/14

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Maierdan, M., Watanabe, K., & Maeyama, S. (2014). Human action recognition based on the angle data of limbs. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 140-144). [7044854] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044854