Simina Emerich

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In this paper, we propose a bimodal emotion recognition system using the combination of facial expressions and speech signals. The models obtained from a bimodal corpus with six acted emotions and ten subjects were trained and tested with different classifiers, such as Support Vector Machine, Naive Bayes and K-Nearest Neighbor. In order to fuse visual and(More)
The recognition of the internal emotional state of a person plays an important role in several human-related fields. The present approach proposes the classification of 7 emotions (happiness, anger, fear, boredom, sadness, disgust and neutral) by using the speech signal. Different wavelet decomposition structures are used for feature vector extraction. The(More)
In this work, a new on-line signature verification system is proposed. Firstly, the pen-position parameters of the online signature are decomposed into multiscale signals by using the wavelet transform technique. A TESPAR DZ based method is employed to code the approximation and details coefficients. Thus, for each analyzed time function, a fixed dimension(More)
The paper presents a feature-based approach regarding on-line signature recognition, by employing the TESPAR DZ matrices extracted from every signature. These matrices describe the different signature features shapes, such as x, y coordinates, x, y velocity, pressure etc. For better results, the fusion of different features was studied. Three signature(More)
This paper presents a method suitable for the detection of various states of combustion in progress by means of sound analogy analysis. Visual inspection, electro-chemical transducers or analyzing the sound produced during the burning process consist of means by which the quality of the burning process can be assessed. The results may be used when taking(More)
In this paper, we mainly concentrate on the recognition module of an object detection and recognition system. Two types of images, visible and infrared, are investigated in order to improve the objects detection and recognition process. Different types of mother wavelets (Haar, Daubechies, Coiflet, Symlet, Biorthogonal, Fractional causal or generalized,(More)
The artificial vision systems was developed having as model the human system, and therefore the objects recognition task is reduced to a classification: the recognition of an initial unknown object through detection of the similarities to another object, previously learned. Our purpose is to study the obstacle recognition in the ruttier scene using wavelet(More)
Drivers fatigue is the major cause of traffic accidents all over the world. Advanced image processing technology processing the stream obtained from infrared cameras is able to supervise blinking rate and at the same time drowsiness of the vehicle driver. Such a system may warn not only the tired person, but also the passengers, whom the driver takes(More)