The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human ...The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human postural stability. Discrete wavelet analysis is used to decompose the stabilogram into several timescale components (i.e. detail wavelet coefficients and approximation wavelet coefficients). Whereas, the modified PCA decomposition is applied to decompose the stabilogram into three components, namely: trend, rambling and trembling. Based on the modified PCA analysis, the trace of analytic trembling and rambling in the complex plan highlights a unique rotation center. The same property is found when considering the detail wavelet coefficients. Based on this property, the area of the circle in which 95% of the trace’s data points are located, is extracted to provide important information about the postural equilibrium status of healthy subjects (average age 31 ± 11 years). Based on experimental results, this parameter seems to be a valuable parameter in order to highlight the effect of visual entries, stabilogram direction, gender and age on the postural stability. Obtained results show also that wavelets and the modified PCA decomposition can discriminate the subjects by gender which is particularly interesting in biometric applications and human stability simulation. Moreover, both techniques highlight the fact that male are less stable than female and the fact that there is no correlation between human stability and his age (under 60).展开更多
Urban development has progressed with economic growth in various parts of Japan.However,there are concerns for the future with respect to severe population decline,aging population,and population concentration in metr...Urban development has progressed with economic growth in various parts of Japan.However,there are concerns for the future with respect to severe population decline,aging population,and population concentration in metropolitan areas.Therefore,it is required for effective urban development in localities for sustainability.One of the practical measures is to focus on pedestrians’activity in the area.It brings revitalizing the local economy,enhancing the region's attractiveness,and bringing about fiscal consolidation.Thus,it is required to understand walking characteristics based on the actual pedestrian activity in the walking space.However,a method for grasping pedestrian activity,including pedestrians'exploratory behavior such as free-purpose behavior,rambling activity in a narrow area has not been established.The study proposes a survey proportional distribution origin-destination survey method focused on the proportion of pedestrians’route selection and the distribution of pedestrians at the time in the area,and evaluation method for urban space using PdOD method.展开更多
文摘The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human postural stability. Discrete wavelet analysis is used to decompose the stabilogram into several timescale components (i.e. detail wavelet coefficients and approximation wavelet coefficients). Whereas, the modified PCA decomposition is applied to decompose the stabilogram into three components, namely: trend, rambling and trembling. Based on the modified PCA analysis, the trace of analytic trembling and rambling in the complex plan highlights a unique rotation center. The same property is found when considering the detail wavelet coefficients. Based on this property, the area of the circle in which 95% of the trace’s data points are located, is extracted to provide important information about the postural equilibrium status of healthy subjects (average age 31 ± 11 years). Based on experimental results, this parameter seems to be a valuable parameter in order to highlight the effect of visual entries, stabilogram direction, gender and age on the postural stability. Obtained results show also that wavelets and the modified PCA decomposition can discriminate the subjects by gender which is particularly interesting in biometric applications and human stability simulation. Moreover, both techniques highlight the fact that male are less stable than female and the fact that there is no correlation between human stability and his age (under 60).
文摘Urban development has progressed with economic growth in various parts of Japan.However,there are concerns for the future with respect to severe population decline,aging population,and population concentration in metropolitan areas.Therefore,it is required for effective urban development in localities for sustainability.One of the practical measures is to focus on pedestrians’activity in the area.It brings revitalizing the local economy,enhancing the region's attractiveness,and bringing about fiscal consolidation.Thus,it is required to understand walking characteristics based on the actual pedestrian activity in the walking space.However,a method for grasping pedestrian activity,including pedestrians'exploratory behavior such as free-purpose behavior,rambling activity in a narrow area has not been established.The study proposes a survey proportional distribution origin-destination survey method focused on the proportion of pedestrians’route selection and the distribution of pedestrians at the time in the area,and evaluation method for urban space using PdOD method.
