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    Wyświetlanie 1-11 z 11
    Tytuł:
    Improved approach to automatic detection of speech disorders based on the hidden Markov models approach
    Autorzy:
    Wiśniewski, M.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Suszyński, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/333602.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    rozpoznanie
    mowa
    zaburzenia
    HMM
    recognition
    speech
    disorders
    Opis:
    In the work algorithms commonly utilized in continuous speech recognition systems were applied to detection of speech disorders. The used algorithms were briefly described and the final method of speech disorders detection was presented. The article includes the results of the short test performed in order to check the effectiveness and accuracy of the method. The aim of the test was detection and classification of fricative phonemes prolongation one of the most common speech disorders in the Polish language. It is worth emphasizing that this method enables detection of a category of speech disturbance (e.g. fricative, nasal, vowels, etc… prolongation), but also provides the information about a specific phoneme being disturbed.
    Źródło:
    Journal of Medical Informatics & Technologies; 2010, 15; 145-152
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic detection and classification of phoneme repetitions using HTK toolkit
    Autorzy:
    Wiśniewski, M.
    Kuniszyk-Jóźkowiak, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/333371.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    rozpoznanie
    mowa
    zaburzenia
    HMM
    recognition
    speech
    disorders
    Opis:
    The therapy of stuttering people is based on a proper selection of texts and then on a practice of their articulation by reading or narration. The texts are chosen on the basis of kind and intensity of dysfluencies appearing in a speech. Thus there is still a requirement to find effective and objective methods of analysis of dysfluent speech. Hidden Markov models are stochastic models widely used in recognition of any patterns appearing in a signal. In the work a simple monophone system based on the Hidden Markov Model Toolkit was built and tested in the context of detection and classification of phoneme repetitions - a common speech disorder in the Polish language.
    Źródło:
    Journal of Medical Informatics & Technologies; 2011, 17; 141-147
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An attempt to improve Eigenface algorithm efficiency for colour images
    Autorzy:
    Orczyk, T.
    Porwik, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/333031.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    rozpoznanie twarzy
    filtrowanie kolorowe
    face recognition
    PCA
    eigenface
    colour filtering
    Opis:
    This article presents an attempt to improve Eigenface algorithm efficiency by using image pre–filtering in order to eliminate background areas of the picture and illumination influence. The background is treated as noise, so when noise is present then efficiency of the algorithm decreases. In order to eliminating this inconvenience, analysed image is pre–filtered by means of the colour classifier. The classifier eliminates pixels which have different colour than an average human skin colour on a digital photo. This causes that the Eigenface algorithm is less sensitive to background noise. The illumination influence was minimized by using hue information instead of traditionally used luminance. The main advantage of the proposed approach is possibility of using in environments where diverse image background texture and scene illumination appears. The eigenfaces technique can be applied in handwriting analysis, voice recognition, hand gestures interpretation and medical imaging.
    Źródło:
    Journal of Medical Informatics & Technologies; 2010, 16; 201-207
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sparse Bayesian learning in classifying face feature vectors
    Autorzy:
    Momot, A.
    Kawulok, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/333794.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    wnioskowanie bayesowskie
    rozpoznanie twarzy
    supervised learning
    Bayesian inference
    face recognition
    Opis:
    The Relevance Vector Machine (RVM), a Bayesian treatment of generalized linear model of identical functional form to the Support Vector Machine (SVM), is the recently developed machine learning framework capable of building simple models from large sets of candidate features. The paper describes the application of the RVM to a classification algorithm of face feature vectors, obtained by Eigenfaces method. Moreover, the results of the RVM classification are compared with those obtained by using both the Support Vector Machine method and the method based on the Euclidean distance.
    Źródło:
    Journal of Medical Informatics & Technologies; 2005, 9; 151-158
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A system for remote diagnosis of human gait dynamic parameters
    Autorzy:
    Sapota, G.
    Wróbel, Z.
    Kołodziejczyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/333987.pdf
    Data publikacji:
    2003
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    zamierzchłe rozpoznanie
    GPRS
    remote diagnosis
    accelerometers a human gait analysis
    Opis:
    In this paper an architecture of a system for remote diagnosis of human gait dynamic parameters is presented. The system consists of some sensor groups located on lower limbs. The main system task is collecting and transmitting information describing human gait parameters such as: coefficients of energy, momentary and average power of muscles groups, movement pathologies.
    Źródło:
    Journal of Medical Informatics & Technologies; 2003, 6; IT107-110
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The interference spectrum extraction of a gait characteristics data record
    Autorzy:
    Chandzlik, S.
    Piecha, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/333704.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    szkolenia sieci neuronowych
    analiza chodu
    zaburzenia chodu
    rozpoznanie niedowładu połowicznego
    rozpoznanie choroby Parkinsona
    neural network training
    gait analysis
    gait disturbances
    hemiparesis diagnosis
    Parkinson's disease diagnosis
    Opis:
    The paper shows several aspects of the gait data record analysis describing neurological diseases. The diagnosis of the gait abnormalities concerns interferences level of the patient physiological records. The disease source and level can be classified by the relevant interference functions. These functions were used for artificial records creation to multiply the necessary set of data needed for neural network training.
    Źródło:
    Journal of Medical Informatics & Technologies; 2004, 7; KB23-32
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic human face recognition method based on geometrical face features
    Autorzy:
    Makieła, M.
    Kotarski, W.
    Lisowska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333239.pdf
    Data publikacji:
    2003
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    rozpoznanie twarzy
    automatyczna identyfikacja
    face recognition
    face's geometrical measures
    automatic identification
    Opis:
    There are many ways to describe and recognize the human face. The paper shows one of them - the feature based method. It also considers usefulness of the face geometrical measurements in recognition and also the geometrical dependence on the features. The paper treats on the feature points detection and takes into consideration six of them, which are: two eyes, two eyebrows, nose and lips. It shows a detailed algorithm of the proposed method and describes its advantages and disadvantages. It also describes a filtering, feature points extraction and gives formulas for calculation of a face likeness coordinates. At the very end it concludes with experiments and examples of the proposed method.
    Źródło:
    Journal of Medical Informatics & Technologies; 2003, 5; MI47-56
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Semi-automatic human emotions recognition method based on I2D features
    Autorzy:
    Lisowska, A.
    Kotarski, W.
    Kownacki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333730.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    podstawowe emocje
    rozpoznanie
    wewnętrzna wymiarowość
    falki geometryczne
    basic emotions
    recognition
    intrinsic dimensionality
    geometrical wavelets
    Opis:
    In the paper we present quite new approach to the problem of human emotion recognition with use of face images. We assume that basic emotions such as anger, disgust, fear, happiness, sadness, surprise are expressed by face mimic. Face images with the well defined emotions may be performed using the method based on geometrical wavelets (beamlets) in order to extract intrinsically two dimensional features, the most important ones from the Human Visual System point of view. Such an approach can be successfully applied in extraction process of the most important features that are responsible for recognition of basic elements of face (eyes, nose, lips, etc.). The listed elements of face have a little different location that depends on emotion expressed. It has been proved experimentally that it is possible using very small amount of information extracted from a face image, by the so-called beamlet extractor, to recognize emotion with high accuracy. Very promising results of experiments suggest that the method should be further investigated and improved.
    Źródło:
    Journal of Medical Informatics & Technologies; 2005, 9; 215-222
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The parameters of density and mechanical strength of bone tissue in diagnosis of osteoporosis
    Autorzy:
    Binkowski, M.
    Wróbel, Z.
    Dyszkiewicz, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333991.pdf
    Data publikacji:
    2003
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    właściwości mechaniczne tkanki kostnej
    rozpoznanie osteoporozy
    mikrotwardość
    mechanical properties of bone tissue
    diagnosis of osteoporosis
    microhardness
    Opis:
    The paper presents results of a study, in which an incomplete correlation between the mineral bone tissue density and patient susceptibility to bone fractures was confirmed. A simple model describing distribution of internal forces present in the microstructure of trabecular bone is proposed. The purpose of this model is to demonstrate that parameters of mechanical strength depend not only on the quantity of mineral material in the bone, but also on the quality of the trabecular structure. In addition, we present the results of cortical and trabecular bone micro hardness test, which are then used to calculate of the modulus of elasticity. Micro-hardness test was performed using Micro-Combi-Tester equipment. Micro-hardness was measured with Vickers diamond; analysis of displacement prosperities was carried out by Olivier and Pharr method. Young's modulus was calculated directly from the resulting unloading curve. Generally, the results for both cortical and trabecular bone tests correspond to the results known from literature. However, depending on localization of the test, slight deviations in modulus of elasticity occur. In conclusion of this research, it is proposed that the dependence between bone mineral density and Young's modulus can be calculated using samples of a normal bone and a bone with changed biomechanical properties. The aim of this research would be to estimate a quantitative coefficient, which would describe differences between mineral bone density and the bone's real density, which is responsible for the immunity to fractures.
    Źródło:
    Journal of Medical Informatics & Technologies; 2003, 6; IT117-125
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of Support Vector Machines in automatic human face recognition
    Autorzy:
    Kawulok, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/333790.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    automatyczne rozpoznanie twarzy
    metoda wektorów nośnych
    wykrywanie twarzy
    wybór cech
    fuzja wielometodowa
    automatic face recognition
    support vector machines
    face detection
    feature extraction
    multi-method fusion
    Opis:
    This paper presents the possibilities of applying the Support Vector Machines (SVM) in the process of automatic human face recognition. It is described how the existing methods of face recognition can be improved by the SVM. Moreover, a new approach to the multi-method fusion utilising the SVM is proposed. Usefulness of all the methods described in the paper improving the face recognition effectiveness by the SVM is confirmed by the experimental results.
    Źródło:
    Journal of Medical Informatics & Technologies; 2005, 9; 143-150
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Biometrical identification on the ground of the eye movement, executed by means of the artificial neural network
    Autorzy:
    Brzeski, R.
    Ober, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/333701.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    sztuczne sieci neuronowe
    identyfikacja biometrii
    stymulacja wzrokowa
    system pomiarowy Ober2
    rozpoznanie
    warstwa
    komórka nerwowa
    ruch gałki ocznej
    artificial neural network
    ANN
    biometrics identification
    visual stimulation
    Ober2
    teaching vectors
    recognition
    layer
    neurone
    eye movement
    Opis:
    In this article was written attempt to use the eye movement to biometrics identification. There are few words about theory of biometrics identification. After that there is described the way of recording of data. It is made by system ‚Ober2’. To process collected data the algorithms of artificial neural network are used. For this need, dedicated application was written. Functionality of the application, in article was described, as well as the examples - results of working of the artificial neural networks, for chosen criterions of researches. The plans for future researches were placed at the end of the article.
    Źródło:
    Journal of Medical Informatics & Technologies; 2004, 7; KB47-54
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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