Similarity measure of human body movement through 3D chaincode

This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the perfo...

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Veröffentlicht in:2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) S. 607 - 614
Hauptverfasser: Hong Ngan, Pham Truong, Hochin, Teruhisa, Nomiya, Hiroki
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.06.2017
Schlagworte:
3D chaincode
Biological system modeling
dissimilarity measure of 3D curves
Labanotation
Motion measurement
Quantization (signal)
Shape
Shape measurement
space harmony
spatial quantization
Three-dimensional displays
Two dimensional displays
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Zusammenfassung:This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the performing speed of movements are compared and adjusted. Next, two types of normalized methods, which are based on the Space Harmony Theory, normalize the human postures in motion data frames. Then, the direction sequences describing the motion paths are derived. After that, an improved method inspired by the dissimilarity measure of the 3D curves is used for measuring the similarity of human body movements.
DOI:10.1109/SNPD.2017.8022785