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Purpose To outline the management of newly identified trematode induced uveitis in pediatric patients Study design Prospective interventional case series Methods Patients with distinctive uveitis were recruited to either receive steroid monotherapy or undergo surgical excision of the inflammatory lesions based on a scoring system. Outcome measures included best corrected visual acuity (BCVA),...
Gaussian mixture model (GMM) is a conventional method for speech recognition, known for its effectiveness and scalability in speech modeling. This paper presents automatic recognition of the Spoken Arabic Digits based on (GMM) classifier and the leading approach for speech recognition features extraction Delta-Delta Mel- frequency cepstral coefficients (DDMFCC). The experimental results give the best...
This paper presents automatic recognition of the Spoken Arabic Digits recognition by means of preselected parameters for the Hidden Markov Models using the cross validation method. The experimental results give the best result with the obtained parameters, achieve 94.09% correct digit recognition dataset and confirm the promising capabilities of the proposed approach compared to the previous work...
In order to improve the rate of recognition for robots, a voice guiding system for a robot arm (manipulator) is designed as a part of a research project within the laboratory LAZA (ANNABA). The paradigm adopted is based on a combination of classical techniques used in automatic speech recognition system. To implement the approach on a real-time application, a personal computer interface was designed...
The aim of this work is to implement on real-time a speech recognition module in order to control the movements of a five degree of freedom manipulator arm using a Kalman filter as a selector in noisy environment and HHM model to recognise 12 Arabic spotted words. The methodology adopted is based on detecting and spotting vocabulary words within a phrase generated by user, the system recognises the...
This paper describes new methods for handwritten Arabic character recognition. We propose a novel algorithm for smoothing image and segmentation of the Arabic character using width writing estimated from skeleton character. The moments and Fourier descriptor of profile projection and centroid distance are used as features of each character these feature are invariant in translation , rotation and...
A voice command system for a robot arm is designed as a part of a research project. The methodology adopted is based on a spotted words recognition system based on a robust HMM (Hidden Markove Model) technique with cepstral coefficients as parameters used in automatic speech recognition system. To implement the approach on a real-time application, a Personal Computer parallel port interface was designed...
Several formant tracking algorithms using fixed and adaptive sine liftering method are tested. The scheme of these algorithms consists of a preprocessor done by the standard linear prediction method, a bandpass liftering with the well known Juang-Rabiner-Wilpon sine window and finally formants tracking by solving for the roots of the linear prediction processed polynomial. The parameter of the sine...
Face localization using neural network is presented in this communication. Neural network was trained with two different kinds of feature parameters vectors; Zernike moments and Eigenfaces. In each case, coordinate vectors of pixels surrounding faces in images were used as target vectors on the supervised training procedure. Thus, trained neural network provides on its output layer a coordinate’s...
In this paper, we propose an efficient direct method that estimates pure translation motion parameters in dynamic scenes. We develop an algorithm that computes, directly, phase information in Fourier domain. The computations are locally performed and limited to small patches of the image. The local measurement of motion parameters are then combined in a more global interpretation by using parametric...
This work describes an automatic recognition system for the handwritten Arabian words (as application we takes the 48 cities). The major problem in the automatic recognition of the cursive Arabian writing is the segmentation in their different constituent. First of all, we classify the cities along the number of the related components, then we segment every component in characters. For the segmentation...
In this paper we present experiments we perform in order to recognize Arabic isolated words. Our recognition system is based on the combination of the supervised classifier at the classical system recognition based Markov modeling. This work is an alternative hybrid approach GHMM/supervised classifier (SVM or KNN) used in speech recognition using hidden Markov model with supervised classifier algorithm...
Many people with disabilities do not have the ability to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The objective of this work is to implement a multi-modal system to control the movement of an electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. The methodology adopted is based...
In this paper we propose a method for the classification of the ECG signal. This method is based on the use of the ergodic Markov model. The data used was obtained from the MIT-BIH arrhythmia database for two categories. Each beat is isolated and its discrete wavelet transform is calculated and the vectorial quantization is applied. The parameters of the Markov model are computed for different number...
Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. The methodology adopted is...
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