STEW: Simultaneous Task EEG Workload Data Set Lim, W. L.; Sourina, O.; Wang, L. P.
IEEE transactions on neural systems and rehabilitation engineering,
11/2018, Letnik:
26, Številka:
11
Journal Article
Recenzirano
This paper describes an open access electroencephalography (EEG) data set for multitasking mental workload activity induced by a single-session simultaneous capacity (SIMKAP) experiment with 48 ...subjects. To validate the database, EEG spectral activity was evaluated with EEGLAB and the significant channels and activities for the experiment are highlighted. Classification performance was evaluated by training a support vector regression model on selected features from neighborhood component analysis based on a nine-point workload rating scale. With a reduced feature dimension, 69% classification accuracy was obtained for 3 identified workload levels from the rating scale with Cohen's kappa of 0.46. Accurate discrimination of mental workload is a desirable outcome in the field of operator performance analysis and BCI development; thus, we hope that our provided database and analyses can contribute to future investigations in this research field.
The paper presents a novel technique of nonlinear spectral analysis, which has been used for processing encephalograms of humans. This technique is based on the concept of generalized entropy of a ...given probability distribution, known as the Rényi entropy that allows defining the set of generalized fractal dimensions of encephalogram (EEG) and determining fractal spectra of encephalographic signals. Unlike the Fourier spectra, the spectra of fractal dimensions contain information of both frequency and amplitude characteristics of EEG and can be used together with well-accepted techniques of EEG analysis as an enhancement of the latter. Powered by volume visualization of the brain activity, the method provides new clues for understanding the mental processes in humans.
Neurofeedback systems and emotions monitoring Sourina, O.; Liu, Y.; Nguyen, M.K. ...
International journal of psychophysiology,
September 2012, 2012-9-00, Letnik:
85, Številka:
3
Journal Article
Emotions accompany everyone in the daily life, playing a key role in non-verbal communication, and they are essential to the understanding of human behavior. Emotion recognition could be done from ...the text, speech, facial expression or gesture. In this paper, we concentrate on recognition of "inner" emotions from electroencephalogram (EEG) signals as humans could control their facial expressions or vocal intonation. The need and importance of the automatic emotion recognition from EEG signals has grown with increasing role of brain computer interface applications and development of new forms of human-centric and human-driven interaction with digital media. We propose fractal dimension based algorithm of quantification of basic emotions and describe its implementation as a feedback in 3D virtual environments. The user emotions are recognized and visualized in real time on his/her avatar adding one more so-called "emotion dimension" to human computer interfaces.
Therapeutic effect of music is known for long time. Music therapy can be used to improve the current patient’s state or even prevent some deceases of psychosomatic origin. For decades, the basic ...research methods of music psychology mainly relied on survey with questionnaire or on observations of subjects. Investigating the effect of music through electroencephalograms (EEG) could be more precise and objective. In this paper, we describe fractal dimension model for quantification of brain responses to external stimuli. Human EEG evoked by music stimuli are analysed with the developed software. The proposed technique of processing EEG is based on the Rényi entropy — the concept of generalized entropy of a given probability distribution. It allows defining generalized fractal dimension of EEG. The experiments involved ten subjects, both male and female twenty years old university students. The EEGs were processed by the fractal dimension analysis tools. Analysis of fractal dimension values demonstrates that the method can be used to quantitatively distinguish between different states of the brain. Correlation between music, and subject’s emotion and concentration was studied. Few hypotheses were validated.
Visualization techniques increase the user involvement in the interactive process of data mining and querying of spatio-temporal data. This paper describes a novel geometric approach to clustering ...and querying of spatio-temporal data. We propose the uniform geometric model based on function representation of solids to cluster and query time-dependent data. Clustering and querying are integrated with visualization techniques in one GUI. First, visual clustering with blobby model allows the user to see the result of clustering on the screen for different time points and/or time intervals and set the appropriate parameters interactively. After that, the user gets the data of clusters for the chosen time frames. Then, the user can visually query the cluster/clusters he/she is interested in with geometric primitive solids which currently are cubes, spheres/ellipsoids, cylinders, etc. Geometric operations of union, intersection and/or subtraction can be performed over the geometric primitive solids to get the final query shape. The user visually clusters spatio-temporal data and queries the clusters with geometric shapes through graphics interface accessing dynamically 3D projections of multidimensional points from database, warehouses or files.With the uniform geometric model of the clustering and querying of spatio-temporal data, 3D visualization tools can be naturally incorporated in one system to allow the user to visualize and query clusters changing over time.
The paper presents a novel technique of nonlinear spectral analysis. This technique is based on the concept of generalized entropy of a given probability distribution, known as the Rényi entropy. ...This concept allows defining generalized fractal dimension of encephalogram (EEG) and determining fractal spectra of encephalographic signals. These spectra contain information of both frequency and amplitude characteristics of EEG and can be used together with well-accepted techniques of EEG analysis as an enhancement of the latter. Powered by volume visualization of the brain activity, the method provides new clues for understanding the mental processes in humans.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Transmembrane helices play basic roles in biology: signal transduction, ion transport and protein folding. While antibodies can be directed towards hydrophilic regions of molecules, transmembrane ...regions have not been targeted so far. In this paper, we propose a novel approach to search for helix-helix complementary pairs in order to inhibit, or modulate, the function of membrane proteins where point mutations at the transmembrane domain have been found to lead to various forms of cancer such as the homodimeric epidermal, or fibroblast, growth factor receptors. This method employs visual and force feedback tools to search for the optimal interaction between helices. The search is manual, exploring helix tilt, helix rotation and side chain rotamer selection, with feedback from the models consisting of a repulsion or attraction force. We developed a prototype system that allows real-time interactive visualization and manipulation of molecules with force feedback in virtual environment. In our system, we implemented haptic interface to facilitate the exploration and analysis of molecular docking. Haptic device enables the user to manipulate the molecules and feel its interaction during the docking process in virtual experiment on computer. In future, these techniques could help the user to understand molecular interactions, and to evaluate the design of pharmaceutical drugs.
Cyber-Learning in Cyberworlds Sourin, Alexei; Sourina, Olga; Prasolova-Førland, Ekaterina
Journal of cases on information technology,
10/2006, Letnik:
8, Številka:
4
Journal Article
Recenzirano
This article discusses the problems of teaching computer graphics and shape modeling in large and distributed classes using visual cyberworlds—shared information worlds on the Web. Cyberworlds allow ...for providing personal mentoring to the students with different cultural and educational backgrounds. The Virtual Campus of Nanyang Technological University is such a cyberworld, which is being used for teaching computer graphics and shape modeling. A part of this cyberworld is the Virtual Shape Modeling Laboratory. It is used by the computer graphics students for designing geometric shapes defined with analytical formulas. Augmenting the existing ways of electronic education with cyberworlds appears to be useful which was proved by the final exam results and overall attitude of the students.
