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First Name:
Ales
Last Name:
Prochazka
Datasets & Competitions
The study of motion data acquisition by wearable sensors and subsequent processing is a crucial research area with significant implications in monitoring physiological motion, identifying gait disorders, and classifying motion patterns, which is particularly relevant in pediatrics, neurology, and rehabilitation. This paper presents the utilization of accelerometric data to evaluate body motion symmetry in children, taking into account various factors such as age, diagnosis, and gender.
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18 Views
Motion analysis forms a very important research topic with a general mathematical background and applications in different areas including engineering, robotics, and neurology. This paper presents the use of the global navigation satellite system (GNSS) for detection and recording of the moving body position and the simultaneous acquisition of signals from further sensors. The application is related to monitoring of physical activity and the use of wearable sensors of the heart rate and acceleration during different motion patterns.
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217 Views
Oral health problems are closely associated with the analysis of dental tissue changes and the stomatologic treatment that follows. The associated paper explores the use of diffuse reflectance spectroscopy in the detection of dental tissue disorders. The data set includes 78 out of 343 measurements of teeth spectra in the wavelength range from 400 to 1700 nm. The proposed methodology focuses on computational and statistical methods and the use of these methods for the classification of dental tissue into two classes (healthy and unhealthy) by estimating the probability of class membership.
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266 Views
Anthropometric studies focusing on facial metrics and their proportions form an important research area devoted to observations of the appearance of the human skull. Many different applications include the use of craniometry for maxillofacial reconstruction and surgery. The paper and the associated dataset explores the possibility of using selected craniometric points and associated metric to observe spatial changes during the maxillofacial surgery treatment. The experimental dataset includes observations of 27 individuals.
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204 Views