Estimation of human behaviors based on human actions using an ANN

Maimaitimin Maierdan, Keigo Watanabe, Shoichi Maeyama

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

2 Citations (Scopus)

Abstract

An approach to human behavior recognition is presented in this paper. The system is separated into two parts: human action recognition and object recognition. The estimation result is composed of a simple action 'Pointing' and a virtual assumed object, which has two attributes, one is 'current status' and the other is 'acceptable behavior'. Once the human action and object are recognized, then detect whether a vector calculated by human elbow intersected the object. If the vector is intersected, then estimate human behavior by combining the human action and the object attribute. The artificial neural network (ANN) is discussed as a main part of the current research. Whole ANN processing is simulated by Octave 3.8, the human actions are captured by Microsoft Kinect, and a human model is built by using human joint data.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages94-98
Number of pages5
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - Dec 16 2014
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: Oct 22 2014Oct 25 2014

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period10/22/1410/25/14

Keywords

  • Artificial neural network
  • Human action recognition
  • Human behavior recognition
  • Object attribute

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Maierdan, M., Watanabe, K., & Maeyama, S. (2014). Estimation of human behaviors based on human actions using an ANN. In International Conference on Control, Automation and Systems (pp. 94-98). [6987965] (International Conference on Control, Automation and Systems). IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6987965