UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRAB06152


Registration ID:
197763

Page Number

802-806

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Title

An Artificial Intelligence: Based Approach for Simulating Pedestrian Movement and Gesture Recognition as a Model of Human Automation

Abstract

Simulating human movement behaviour based on artificial intelligence technology with the concept of replacing cognitive structure of human with an analogous mechanism in artificial technology systems. Gesture is the most primitive way of communication with human automated systems. Large volume of microscopic human movement behaviour types was collected and encapsulated in artificial neural network and with the help of the above mentioned mechanism we can optimise the human mental process in terms of energy and time and just by working out on the algorithm it enables us to create the analogous mechanism that’s nothing but a reflexive structure. AI systems in real time which were not used before due to high time consumption and the entire study of human automation is based on information metabolism theory (IMT). This paper proposes a novel gesture recognition and finger-count detection algorithm for automated human interactions. The body gestures are captured and the corresponding output is extracted. The hand gesture recognition system based on the proposed methodology enables the use of affordable data glove with a small number of sensors. According to the literature, there are no similar solutions that allow efficient recognition of simple and complex static hand gestures, based on a hand gesture.

Key Words

An Artificial Intelligence: Based Approach for Simulating Pedestrian Movement and Gesture Recognition as a Model of Human Automation

Cite This Article

"An Artificial Intelligence: Based Approach for Simulating Pedestrian Movement and Gesture Recognition as a Model of Human Automation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.802-806, February-2019, Available :http://www.jetir.org/papers/JETIRAB06152.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Artificial Intelligence: Based Approach for Simulating Pedestrian Movement and Gesture Recognition as a Model of Human Automation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp802-806, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06152.pdf

Publication Details

Published Paper ID: JETIRAB06152
Registration ID: 197763
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 802-806
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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