Publications

ABSTRACT – An important function of the construction of the Brain-Computer Interface (BCI) device is the development of a model that is able to recognize emotions from electroencephalogram (EEG) signals. Research in this area is very challenging because the EEG signal is non-stationary, non-linear, and contains a lot of noise due to artifacts caused by […]

ABSTRACT – The paper presents the usage of artificial neural networks (NNs) in bicycle route planning. This research aimed to check the possibility of NNs to transfer human expertise in bicycle route design by training the NN on an already established set of bicycle routes and then using the trained NN to design the routes

ABSTRACT – People detection in image and video is challenging problem that has great importance in different applications such as surveillance systems, autonomous driving systems, sports video analysis etc. Player detection task, as a subproblem of people detection, is one of the fundamental steps in football video analysis. In this paper we propose a method

ABSTRACT – Acoustic properties affect the way one experiences sound in a room; sound listener or microphone will receive the sound in a form that might be more or less understandable, influenced by the room’s acoustic properties. Assessment of a room’s acoustic properties can be made on-site and by using simulation software. This paper used

ABSTRACT – Emotion recognition using electroencephalogram (EEG) signals is getting more and more attention in recent years. Since the EEG signals are noisy, non-linear and have non-stationary properties, it is a challenging task to develop an intelligent framework that can provide high accuracy for emotion recognition. In this paper, we propose a new model for