scholarly journals A Method for Behavior Analysis using Change-points Sequences Extracted by Singular Spectrum Transformation

Author(s):  
Hisato TOKUNAGA ◽  
Sayaka KANATA ◽  
Hiroaki NAKANISHI ◽  
Tetsuo SAWARAGI
2013 ◽  
Vol 20 (4) ◽  
pp. 467-481 ◽  
Author(s):  
N. Itoh ◽  
N. Marwan

Abstract. In this paper a change-point detection method is proposed by extending the singular spectrum transformation (SST) developed as one of the capabilities of singular spectrum analysis (SSA). The method uncovers change points related with trends and periodicities. The potential of the proposed method is demonstrated by analysing simple model time series including linear functions and sine functions as well as real world data (precipitation data in Kenya). A statistical test of the results is proposed based on a Monte Carlo simulation with surrogate methods. As a result, the successful estimation of change points as inherent properties in the representative time series of both trend and harmonics is shown. With regards to the application, we find change points in the precipitation data of Kenyan towns (Nakuru, Naivasha, Narok, and Kisumu) which coincide with the variability of the Indian Ocean Dipole (IOD) suggesting its impact of extreme climate in East Africa.


2013 ◽  
Vol 438-439 ◽  
pp. 1555-1558
Author(s):  
Jin Chao Yue ◽  
Yong Xing Jiang ◽  
Hao Zhang

The response spectrum method was applied to calculate the seismic behavior analysis of a spillway weir gate. Based on the analysis of the structure performance, special attentions were paid to the stress state of the key parts on the surface and root of the pier. The results showed that the displacement and stress of the whole structure were related to the direction of earthquake excitation; large principal tensile stress and principal tensile stress area appeared in steep change points of geometry shape, special attention should be paid when calculating anti-seismic checking and reinforcement arrangement; the displacement and stress of the weir section met the standard requirements.


Author(s):  
Hiroaki Nakanishi ◽  
◽  
Sayaka Kanata ◽  
Hirofumi Hattori ◽  
Tetsuo Sawaragi ◽  
...  

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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