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Emotion recognition becomes an investigated topic in affective computing for several applications. The presented paper aims to recognize human emotions using peripheral physiological signals as well as electrocardiogram (ECG), galvanic skin response (GSR), Skin Temperature (Temp) and respiration volume (RV). To achieve this purpose, we develop our work with the multimodal database MAHNOB-HCI. The...
The sound signals caterers have long do an analysis and time-frequency representation of sounds, but they still faced the problem of compromise between adaptation to different signal components. Indeed, the audio signals may include components with very different time-frequency characteristics and which each require a different window size. As a result, all these physical properties justify the need...
In recent years face recognition has received substantial attention from researchers in biometrics, pattern recognition, and computer vision communities. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies in recent years of research. Many existing methods in face recognition...
Face recognition is a quintessential biometric technique. It still remains challenging to accurately characterize the identity related features in face images. In this paper, we propose a novel classification method based on Kernel Fisher Discriminant Analysis using the distinctiveness of Gabor features and the robustness of ordinal measures. These parameters are derived from magnitude, phase, real...
Face recognition became a daily discipline in human life. At the work, with our PDP and smart phones, for our daily help, our security and many other utilities, face recognition has crossed the laboratory doors and colonized the human quotidian. However, the effectiveness of the developed applications still encounters many challenges. The presented work in this paper tries to deal with these challenges...
In the software engineering field, especially in software product line engineering, the problem of managing the variability within databases is relevant. Therefore, in this paper, we have tried to manage the complexity of modeling variables databases schemas and implement an automatic method of generating this type of schema, and then test it on two cases of studies. To carry out this task we decided...
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