Extraction of interesting features from human motion

Authors:
Md. Shahjahan;Sultan Uddin Ahmed;H. M. Imran Hassan;Kazuyuki Murase
Affiliations:
Khulna University of Engineering & Technology (KUET), ECE, Fulbarigate, Khulna, Banglandesh 9203;Khulna University of Engineering & Technology (KUET), ECE, Fulbarigate, Khulna, Banglandesh 9203;Khulna University of Engineering & Technology (KUET), ECE, Fulbarigate, Khulna, Banglandesh 9203;University of Fukui, Fukui, Japan
Venue:
3D Research
Year:
2010

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Abstract

This paper presents some interesting features that are revealed from the trajectories of human motions such as walk, run, and jump. Each trajectory represents a chaotic time series. The phase space that exhibits a characteristic trajectory representing the regularity of the time series is reconstructed by using appropriate time delay and dimension. Self organizing map (SOM) with neural network is used to visualize the underlying characteristics of a motion. The analysis of time series with different motions has revealed that the classification of a particular motion is possible from the orientation of phase space and SOM. In addition, correlation dimensions (CDs) are computed to quantify the regularity of a time series. Since computing the overall complexity of body points such as head, two hands and two legs is important, `CD triangle' is introduced first time. This is useful in classifying human body points.