In the article there are presented results of recognition seven emotional states (neutral, joy, sadness, surprise, anger, fear, disgust) based on facial expressions. Coefficients describing elements expressions, registered for six subjects, were used as features. The features have been calculated three-dimensional face model. classification performed using k-NN classifier and MLP neural network.

This article reports the results of study related to emotion recognition by using eye-tracking. Emotions were evoked presenting a dynamic movie material in form 21 video fragments. Eye-tracking signals recorded from 30 participants used calculate 18 features associated with eye movements (fixations and saccades) pupil diameter. To ensure that emotions, we investigated influence luminance dynamics presented movies. Three classes emotions considered: high arousal low valence, moderate valence....

Although the psychophysiological signs of fatigue are well known, automatic methods for detection in employees specific working conditions still lacking. Many people do repetitive work on computers and become fatigued; therefore, can help prevent accidents increase their efficiency. In this article, we propose an algorithm effective which is based only electrooculographic (EOG) signal. Three features were assessed: blink duration, amplitude, time between blinks. To cause fatigue, N-back...

An article presents the results of research related to detection emotions using combined analysis galvanic skin response (GSR) and electroencephalographic (EEG) signals. Twenty seven volunteers participated in experiment. Emotions were evoked by presentation a set twenty one movies. Emotions, individual movies, later rated participants according valence arousal. GSR signal was used indicate most stimulating then features extracted from EEG classify emotions. To determine analyzed frequency...

In this article, we present a comprehensive measurement system to determine the level of user emotional arousal by analysis electrodermal activity (EDA).A number EDA measurements were collected, while emotions elicited using specially selected movie sequences.Data collected from 16 participants experiment, in conjunction with those personal questionnaires, used large 20 features EDA, assess state user.Feature selection was performed signal processing and methods, considering declarations.The...

The article presents a face image classification system for emotion recognition. In the first step skin recognition, using elliptical boundary model, is performed. Then, detection of facial features takes place. Next, an algorithm extracting geometric and anthropometric features, from activated. Finally, training testing classifiers are We achieved averaged accuracy 57.7% 6 different emotions (joy, surprise, sadness, anger, fear disgust) average 95.9% 2 (joy surprise).

The article presents the use of genetic algorithm (GA) to select and classify ERD/ERS patterns. One hundred twenty eight channel EEG signal was used in experiments. recorded for 40 people, during process imagining right left hand movements. Feature extraction performed using frequency analysis (FFT) with resolution 1Hz. So features were spectral lines associated particular electrodes. selection features, calculated all made GA. fitness function GA classification error LDA classifier 5-CV...

The article presents a gender identification based on speech signal with supervised machine learning implementation. At first, database of signals in Polish language was collected. Next, set features from audio were calculated. farther used to train neural network. Audio processing and implementation the network performed Python, calculation R language. Neural training process carried out using only CPU, then CPU GPU times programs execution compared. obtained accuracy recognition 92.4%. use...

sympathetic index (CSI).CSI is based on the quantitative analyses of Poincare plot features.Several studies indicate that it possible to use CSI detect and predict seizures [14][15][16][17].For calculation, method proposed by Toichi et al. in [18] most often used.In this article, symbolic name "Toichi" used refer algorithm described work.To determine CSI, first R-waves must be detected ECG signal.For purpose, well-known Pan-Tompkins [19] or another can used.Next, RR intervals should analysed...

The purpose of the article is to check whether acceleration signals recorded by a smartphone help identify user's physical activity type. experiments were performed using application installed in smartphone, which was located on hip subject. Acceleration for five types activities (running, standing, going up stairs, down and walking) four users. statistical parameters signal used extract features from signal. In order classify type activity, quadratic discriminant analysis (QDA) used....

The aim of this paper is to recognize human emotions using electroencephalography (EEG). Three categories have been examined: negative, positive and neutral. were evoked by stimuli in form slideshows displayed on a computer screen. Electroencephalographic signals recorded g.USBAmp with 16 active electrodes. Preprocessing the signal was done common average reference filter. Spectral lines used as features. obtained classification results, for nearest neighbour classifier, proved that...

The article presents an algorithm for visual inspection of traffic intensity. At first, the acquisition process video material from a road camera is described. Then processing and analyzing images recorded presented. Software was prepared in MATLAB environment. Algorithm tests were conducted real conditions, at different times day, atmospheric conditions levels Test results show that good working vehicle counting accuracy 95.6%. When sun shined lens decreased to 87.2%. smallest 83.2% noted jams.

Fall is one of the most common causes injury. Falling especially dangerous for elderly people. Fortunately in recent years, there has been a growing popularity smartphone devices, also among older Each such device equipped with different sensors, including an accelerometer, gyroscope and magnetometer. The purpose article to verify whether it possible effectively detect fall from other daily physical activities. For purposes research, linear angular acceleration signals magnetic field...

The following topics are dealt with: medical image processing; signal prosthetics; computerised tomography; production engineering computing; eddy currents; pulse measurement; feature extraction; mathematics finite element analysis.

Tadeusz Slobodzianek’s play Nasza klasa. Historia w XIV lekcjach is an undeniable success of the Polish drama on a global scale when measured by number stagings. The aim this essay was to identify drivers international success. investigation conducted in wide historical and cultural context, taking into account artistic representations Holocaust academic studies field. It based mainly analysis reviews foreign stagings using which author attempted determine how local critics audiences...

The aim of this paper is to investigate the use oculography signals for recognition experts in visual arts. We focused our attention on number sight transitions between characteristic image areas (ROIs). In experiments we used oculographic data recorded at Department Experimental Psychology Catholic University Lublin 29 images and 34 users. EM method was determine ROIs, BIC criterion determining optimal clusters. selected values matrix were learning testing classifier. Very rigorous proposed...

The presurgical evaluation patients for resective epilepsy surgery require localization of the epileptogenic cortical zone (EZ). detection and analysis interictal ictal epileptiform spikes is major importance identifying this area. "irritative zone" cortex with are usually revealed intraoperatively during acute electrocorticogram (ECoG). Since ECoG recordings cannot be completely visually reviewed in a reasonable amount time, computer algorithms automatic seizures were developed. In article...

An article presents the results of research related to recognizing emotions using anthropometric facial features. Emotions are recognized by estimating emotional arousal and valence, in response video material. Sixteen subjects participated experiment. Thirty four features were extracted, based on distances between characteristic points face. The correlation developed valence estimators with answers given questionnaires was 0.6 0.48.

A simple and effective method of recognizing eye blinking in industrial conditions is presented. The developed uses a camera built into safety glasses. presented algorithm can be applied to recognize whether glasses are correctly put on – check if employees use personal protective equipment. Recognition open or closed eyes allows control by intentional winking. only light sources present the workplace does not require infrared radiation (IR). solution was tested set 1797 photos recorded...