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As the number of bicyclists grows steadily, bicycle related crashes are getting more concerns. In order to enhance bicycle safety, various factors affecting bicycle crash risk have been investigated. This study attempts to extract the kinematic and the spatial features from a large number of the bicycle trajectories and to investigate their significance as the crash risk factors. The trajectories...
We have developed a knowledge based approach for arterial stiffness estimation. The proposed new approach reliably estimates arterial stiffness based on the analysis of age and heart rate normalized reflected wave arrival time. The proposed new approach reduces cost, space, technical expertise, specialized equipment, complexity, and increases the usability compared to recently researched noninvasive...
The digital volume pulse (DVP) is a physiological signal obtained from the photoplethysmography. Since the photoplethysmography measures volumetric changes of blood occurred by heart contraction and properties of blood vessels, DVP contains several feature parameters that reflect cardiovascular events, such as arterial stiffness. In order to extract these parameters, a number of algorithms have been...
This paper is concerned with a new approach for the estimation of arterial stiffness from the digital volume pulse (DVP). From the previous studies, it is well-known that arterial stiffness is a reasonable indicator of cardiovascular events and thus can be used as a prognostic factor of cardiovascular diseases. To evaluate arterial stiffness, various diagnostic techniques, such as the pulse wave velocity...
Many previous studies suggested that the digital volume pulse (DVP) can be used to estimate arterial stiffness. The DVP waveform can be rapidly acquired by measuring reflection or absorption of red light (or infrared light) across the photoplehtysmography (PPG). Because of the nature of its measuring principle, the DVP is often contaminated by noise from light sources, such as sunlight, and disturbances...
In the driving circumstance, the driver??s condition is directly connected with the car accident. Therefore, there are many researches to decrease the car accidents by keeping the driver??s state in a good condition. While many of these researches are focused on the driver??s face, our approach is focused on the driver??s head movement. By collecting the driver??s head position and extracting the...
This work proposes higher-order statistics (HOS)- based features to improve classification performance of voice quality measurement. They are means and variances of skewness and kurtosis which show meaningful differences in normal, breathy, and rough voices. Jitter, shimmer, and harmonic to noise ratio (HNR) are implemented as conventional features. The performances are measured by classification...
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