this paper presents a reconfigurable Body Area Network (BAN) system that can be used to monitor human vital signs and identify abnormalities. the identification of clinically significant patterns in electrocardiogram ...
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ISBN:
(纸本)9781479900312
this paper presents a reconfigurable Body Area Network (BAN) system that can be used to monitor human vital signs and identify abnormalities. the identification of clinically significant patterns in electrocardiogram (ECG) data is the application used to verify the system operation as well as to demonstrate reconfigurability of the system. Data files from the MIT-BIH Arrhythmia database were used for this purpose. As built, the system demonstrates the ability to record raw ECG data and detect and record R-R intervals as well as premature ventricular contractions. Moreover, the overall system was designed to be highly reconfigurable, allowing it to be used for other BAN applications besides patternrecognition in ECG data signals.
Facial caricaturing is a representation process of human visual impression onto a paper or other media. We have proposed a typical KANSEI machine vision system to generate the facial caricature so far this system is c...
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Facial caricaturing is a representation process of human visual impression onto a paper or other media. We have proposed a typical KANSEI machine vision system to generate the facial caricature so far this system is called PICASSO. Facial caricaturing process should be investigated and modeled from multiple viewpoints of three relations among the model, the caricaturist and the gallery. Furthermore, some kinds of interactive mechanism should be installed in order especially to implement the relation between PICASSO and gallery. In this paper, we propose a dynamic caricaturing system by using KANSEI visual information acquired from a camera. this system follows a viewer's gaze, extracts measures of the fixation and saccade, and so determines which parts of a face should be most emphasised in a good caricature. therefore, this system could make the caricature more suitable by utilizing the viewer's own KANSEI visual information.
Complex signals such as images, audio and video recordings can be represented by a large over-complete dictionary without significant compromise on the representation quality. An over-complete dictionary has many more...
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ISBN:
(纸本)9781479900312
Complex signals such as images, audio and video recordings can be represented by a large over-complete dictionary without significant compromise on the representation quality. An over-complete dictionary has many more columns than the number of rows. Large over-complete dictionaries can produce sparse representation vectors and provide significant improvements in the reconstructed signal quality because it contains many patterns to select from. the use of the over-complete dictionaries and sparse coding has been successfully applied in compression, de-noising, and patternrecognition applications within the last few decades. An example of an over-complete dictionary that has seen a great deal of success in image processing applications is the Discrete Cosine Transform (DCT) dictionary. However, we propose a novel non-linear over-complete dictionary that improves the quality of the signal representation while reducing the number of non-zero elements to represent the signal. the proposed non-linear dictionary has demonstrated through experimental results to be superior to the DCT dictionary by achieving higher signal to noise ratio (SNR) in the reconstructed images.
At the research for moving target detection at maritime surveilance with a fixed camera stationed at the shore, Background Subtraction is the best method that can be used for sea which is a dynamic environment due to ...
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At the research for moving target detection at maritime surveilance with a fixed camera stationed at the shore, Background Subtraction is the best method that can be used for sea which is a dynamic environment due to factors such as wave, wave foam, rudder water, weather condition, sunlight reflected on the sea, When the methods that give the best results by using background subtraction are examined, it is seen that the ViBE algorithm made for motion detection is suitable. However, it has been observed that sometimes there are erroneous evaluations in the foreground and background classification when we run the ViBE algorithm on marine surveillance, there may be noise in the image, and the target may have a foreground which includes a small part of the target but not the whole. In order to overcome these situations, some improvements have been made on the algorithm and appropriate results have been obtained.
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