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Published in:
Rough Sets and Other Mathematics: Ten Research Programs Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Two Person Interaction Detection Using Kinect Sensor

Authors : Sriparna Saha, Amit Konar, Ramadoss Janarthanan

Published in: Facets of Uncertainties and Applications

Publisher: Springer India

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Abstract

This proposed work explains a noble two-person interaction modelling system using Kinect sensor. Here a pentagon for each person is formed taking the three dimensional co-ordinate information with the help of Microsoft’s Kinect sensor. Five Euclidean distances between two pentagon vertices corresponding to two persons are considered as features for each frame. So the body gestures of two persons are analysed employing pentagons. Based on these, eight interactions between two persons are modelled. This system produces the best recognition rate (greater than 90 %) with the virtue of multi-class support vector machine for rotation invariance case and for rotation variance phenomenon, the recognition rate is greater than 80 %.

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previous chapter Uncertainty Analysis of Retardation Factor Using Monte Carlo, Fuzzy Set and Hybrid Approach
next chapter An Improved Genetic Algorithm and Its Application in Constrained Solid TSP in Uncertain Environments
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Metadata
Title
Two Person Interaction Detection Using Kinect Sensor
Authors
Sriparna Saha
Amit Konar
Ramadoss Janarthanan
Copyright Year
2015
Publisher
Springer India
Book
Facets of Uncertainties and Applications

Print ISBN: 978-81-322-2300-9

Electronic ISBN: 978-81-322-2301-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-81-322-2301-6_13

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