Faculty of Computer Science and Engineering

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The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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Author: search.filters.author.Kirandzhiska, VesnaHas files: Yes

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    Comparison of Humans and Robots Emotion Evaluation Perception Based On Human Sound
    (Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, 2013)
    Kirandzhiska, Vesna
    ;
    In human-to-human interaction emotion perception is the perception on the emotion of the other people, which, due to the nature of emotions is not so precise. On the other hand, perception on emotions in human-computer interaction is still an open problem. A lot of work is done in direction of finding suitable model for perceiving emotions based on different input signals and classification models. Here, only sound signals are considered. Emotion perception is being used in human-robot interaction among others. Robots are machines that can partially act like humans, and today some robots can even perceive emotions. Here a custom build emotion aware robot that perceives emotion evaluation is used to investigate the similarity and differences of the robot's perception with human's perception. This paper presents a discussion about the future of robots that can perceive human emotions and their usage.
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    Sound features used in emotion classification
    (Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, 2012)
    Kirandzhiska, Vesna
    ;
    Human emotion perception is an open problem that can be used in human-to-computer communication. In this paper classification of human’s emotions will be done using the human voice and its features as input data. More precisely, different sound features used for human voice emotion classification will be explored and ranNed. An application which uses human sound features to classify two categories of human emotions: positive and negative emotions will be presented. The results will be given and explained. A comparison between the classifier built and the human’s natural classifier will also be presented.