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In this paper, we will propose method to separate biosignals such as breath, blood, heart signal from mixed signals in body. As a result, we could get only target signal which is breath, blood and heart signals from actual mixture signals of carotid artery sound that extracted from a healthy human subject in a real environment using our algorithms and microphone sensors. Although this method is first...
The possibility to study graphic recording (PCG -Phonocardiography) of auscultator findings is a helpful diagnostic tool for the clinician and forms the basis of early detection of the heart problems. Due to its dispersed nature and overlapping with breathing sounds Heart Sound Signals (HSS) is difficult to detect and comprehend in conventional PCG. We present a Hardware system utilizing Frequency-Domain...
A face recognition algorithm for LSI implementation suitable for embedded applications is presented. Although many algorithms to recognize a face recently suggested have a relatively stable performance under the variety of environmental disturbances, the problem still lies on computational cost as well as memory usage. In this paper, we will propose an algorithm based on a "Pseudo Fisherface...
In the field of ITS technology, many methods have been proposed for detecting and recognizing road signs from car-mounted cameras. Most of these techniques are, however, for only still images. Therefore, the recognition results are affected by occasional changes of light conditions or occlusions. Moreover, though recognition of far placed signs are meaningful for safety driving, these signs are taken...
The combination of high-resolution multi-spectral satellite imagery and advanced COTS object-oriented image processing software provides for an automated terrain feature extraction and classification capability. This information, along with elevation data, infrared imagery, a vehicle mobility model and various metadata (local weather reports, Zobler Soil map, etc.), is fed into automated path planning...
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