Human action recognition based on the angle data of limbs

Maimaitimin Maierdan; Keigo Watanabe; Shoichi Maeyama

doi:10.1109/SCIS-ISIS.2014.7044854

Human action recognition based on the angle data of limbs

Maimaitimin Maierdan, Keigo Watanabe, Shoichi Maeyama

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	140-144
Number of pages	5
ISBN (Electronic)	9781479959556
DOIs	https://doi.org/10.1109/SCIS-ISIS.2014.7044854
Publication status	Published - Feb 18 2014
Event	2014 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 2014 → Dec 6 2014

Other

Other	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Country/Territory	Japan
City	Kitakyushu
Period	12/3/14 → 12/6/14

ASJC Scopus subject areas

Software
Artificial Intelligence

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10.1109/SCIS-ISIS.2014.7044854

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). Article 7044854 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044854

Human action recognition based on the angle data of limbs. / Maierdan, Maimaitimin; Watanabe, Keigo; Maeyama, Shoichi.
2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 140-144 7044854.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7044854, Institute of Electrical and Electronics Engineers Inc., pp. 140-144, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, Kitakyushu, Japan, 12/3/14. https://doi.org/10.1109/SCIS-ISIS.2014.7044854

Maierdan M, Watanabe K, Maeyama S. 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. Institute of Electrical and Electronics Engineers Inc. 2014. p. 140-144. 7044854 doi: 10.1109/SCIS-ISIS.2014.7044854

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Human action recognition based on the angle data of limbs

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