Singular spectrum transformation for detecting molecular motion mode change of protein systems

2021 ◽  
Author(s):  
Takefumi Yamashita ◽  
Naoyuki Shoji
Keyword(s):  
Molecular Motion ◽  
Mode Change ◽  
Singular Spectrum ◽  
Spectrum Transformation ◽  
Motion Mode

Extraction of Coordinative Structures of Motions by Segmentation Using Singular Spectrum Transformation

2011 ◽  
Vol 15 (8) ◽  
pp. 1019-1029 ◽  
Author(s):  
Hiroaki Nakanishi ◽  
◽  
Sayaka Kanata ◽  
Hirofumi Hattori ◽  
Tetsuo Sawaragi ◽  
...  
Keyword(s):  
Time Series ◽  
Human Behavior ◽  
Time Series Data ◽  
Series Data ◽  
Dynamical Interaction ◽  
Kinematic Data ◽  
Singular Spectrum ◽  
Multiple Alignments ◽  
Coordinative Structure ◽  
Spectrum Transformation

In this article, we focus on the coordinative structure of human behavior, which contributes to specifying dynamics from time-series kinematic data. We propose a method for the extraction of dynamical interaction from time-series data of human behavior using Singular Spectrum Transformation. Using the proposed method, human behavior can be described as a letter string whose letters indicate where the motion segmentation is detected. We also discuss a method of extracting coordinative structures by constructing multiple alignments from the timing structure of extracted motion change points. To confirm the effectivity of the proposed method, the results of motion analysis are shown.

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