The Experts below are selected from a list of 2517 Experts worldwide ranked by ideXlab platform
Vicente Javier Clemente-suárez - One of the best experts on this subject based on the ideXlab platform.
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Use of Biotechnological Devices in the Quantification of Psychophysiological Workload of Professional Chess Players
Journal of Medical Systems, 2018Co-Authors: Juan P. Fuentes, Santos Villafaina, Daniel Collado-mateo, Ricardo Vega, Narcis Gusi, Vicente Javier Clemente-suárezAbstract:Psychophysiological requirements of Chess Players are poorly understood, and periodization of training is often made without any empirical basis. For this reason, the aim of the present study was to investigate the psychophysiological response and quantify the Player internal load during, and after playing a Chess game. The participant was an elite 33 year-old male Chess Player ranked among the 300 best Chess Players in the world. Thus, cortical arousal by critical flicker fusion threshold, electroencephalogram by the theta Fz/alpha Pz ratio and autonomic modulation by heart rate variability were analyzed. Data revealed that cortical arousal by critical flicker fusion threshold and theta Fz/alpha Pz ratio increased and heart rate variability decreased during Chess game. All these changes indicated that internal load increased during the Chess game. In addition, pre-activation was detected in pre-game measure, suggesting that the prefrontal cortex might be preparatory activated. For these reasons, electroencephalogram, critical flicker fusion threshold and heart rate variability analysis may be highly applicable tools to control and monitor workload in Chess Player.
Uršič Jakob - One of the best experts on this subject based on the ideXlab platform.
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Discovering Chess motifs with analysis of Chess Player\u27s eye movement
2017Co-Authors: Uršič JakobAbstract:Ko šahist išče najboljšo potezo v dani poziciji, v mislih preiskuje drevo možnih nadaljevanj partije. Da lahko obvlada veliko kombinatorično zahtevnost tega drevesa, si šahist pomaga z značilnimi šahovskimi motivi, kot so dvojni napadi ali vezave figur. V tem delu poskušamo iz posnetka očesnih premikov šahista med reševanjem problema avtomatsko detektirati motive, ki jih je šahist uporabljal med reševanjem. Razvili smo formulo, ki podatke, pridobljene s sledenjem očesnim premikom med reševanjem problema, pretvori v pripadnosti vnaprej določenim šahovskim motivom, ki se nahajajo v poziciji. Rezultate smo analizirali najprej ročno, ter jih primerjali z retrospekcijami šahistov, izvedenimi po opravljenem poskusu. Nato smo časovne vrste pripadnosti motivom na različne načine prilagodili potrebam strojnega učenja, ter z uporabo nevronske mreže napovedali šahistove odgovore in napovedi ovrednotili. Razvita metoda za določanje pripadnosti motivom deluje zadovoljivo, ni pa odporna na primere, kjer obstaja visoka stopnja medsebojnega prepletanja motivov.When looking for a best move in a given position, a Chess Player explores in his mind a tree of possible continuations of the game. To cope with a large combinatorial complexity of this tree, the Player uses typical Chess motifs, such as double attacks or pinned pieces. In this thesis we attempt to automatically detect from the Player\u27s eye movement the motifs that the Player is using during problem solving. We developed a formula that converts eye tracking data obtained from problem solving, into a degree of membership for predefined Chess motifs in the position. Results were analysed and compared with retrospections of Chess Players, which were obtained immediately after the problem solving experiment. Then the time series of motifs were adjusted in different ways, so they are more convenient to use with machine learning algorithms. We trained a neural network to predict Players’ Chess moves from their eye movements. The developed method for motif detection seems to work promising, however it has a disadvantage of not being able to perform in positions where very similar motifs exist
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Discovering Chess motifs with analysis of Chess Player's eye movement
2017Co-Authors: Uršič JakobAbstract:When looking for a best move in a given position, a Chess Player explores in his mind a tree of possible continuations of the game. To cope with a large combinatorial complexity of this tree, the Player uses typical Chess motifs, such as double attacks or pinned pieces. In this thesis we attempt to automatically detect from the Player's eye movement the motifs that the Player is using during problem solving. We developed a formula that converts eye tracking data obtained from problem solving, into a degree of membership for predefined Chess motifs in the position. Results were analysed and compared with retrospections of Chess Players, which were obtained immediately after the problem solving experiment. Then the time series of motifs were adjusted in different ways, so they are more convenient to use with machine learning algorithms. We trained a neural network to predict Players’ Chess moves from their eye movements. The developed method for motif detection seems to work promising, however it has a disadvantage of not being able to perform in positions where very similar motifs exist
Juan P. Fuentes - One of the best experts on this subject based on the ideXlab platform.
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Use of Biotechnological Devices in the Quantification of Psychophysiological Workload of Professional Chess Players
Journal of Medical Systems, 2018Co-Authors: Juan P. Fuentes, Santos Villafaina, Daniel Collado-mateo, Ricardo Vega, Narcis Gusi, Vicente Javier Clemente-suárezAbstract:Psychophysiological requirements of Chess Players are poorly understood, and periodization of training is often made without any empirical basis. For this reason, the aim of the present study was to investigate the psychophysiological response and quantify the Player internal load during, and after playing a Chess game. The participant was an elite 33 year-old male Chess Player ranked among the 300 best Chess Players in the world. Thus, cortical arousal by critical flicker fusion threshold, electroencephalogram by the theta Fz/alpha Pz ratio and autonomic modulation by heart rate variability were analyzed. Data revealed that cortical arousal by critical flicker fusion threshold and theta Fz/alpha Pz ratio increased and heart rate variability decreased during Chess game. All these changes indicated that internal load increased during the Chess game. In addition, pre-activation was detected in pre-game measure, suggesting that the prefrontal cortex might be preparatory activated. For these reasons, electroencephalogram, critical flicker fusion threshold and heart rate variability analysis may be highly applicable tools to control and monitor workload in Chess Player.
Santos Villafaina - One of the best experts on this subject based on the ideXlab platform.
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Use of Biotechnological Devices in the Quantification of Psychophysiological Workload of Professional Chess Players
Journal of Medical Systems, 2018Co-Authors: Juan P. Fuentes, Santos Villafaina, Daniel Collado-mateo, Ricardo Vega, Narcis Gusi, Vicente Javier Clemente-suárezAbstract:Psychophysiological requirements of Chess Players are poorly understood, and periodization of training is often made without any empirical basis. For this reason, the aim of the present study was to investigate the psychophysiological response and quantify the Player internal load during, and after playing a Chess game. The participant was an elite 33 year-old male Chess Player ranked among the 300 best Chess Players in the world. Thus, cortical arousal by critical flicker fusion threshold, electroencephalogram by the theta Fz/alpha Pz ratio and autonomic modulation by heart rate variability were analyzed. Data revealed that cortical arousal by critical flicker fusion threshold and theta Fz/alpha Pz ratio increased and heart rate variability decreased during Chess game. All these changes indicated that internal load increased during the Chess game. In addition, pre-activation was detected in pre-game measure, suggesting that the prefrontal cortex might be preparatory activated. For these reasons, electroencephalogram, critical flicker fusion threshold and heart rate variability analysis may be highly applicable tools to control and monitor workload in Chess Player.
Daniel Collado-mateo - One of the best experts on this subject based on the ideXlab platform.
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Use of Biotechnological Devices in the Quantification of Psychophysiological Workload of Professional Chess Players
Journal of Medical Systems, 2018Co-Authors: Juan P. Fuentes, Santos Villafaina, Daniel Collado-mateo, Ricardo Vega, Narcis Gusi, Vicente Javier Clemente-suárezAbstract:Psychophysiological requirements of Chess Players are poorly understood, and periodization of training is often made without any empirical basis. For this reason, the aim of the present study was to investigate the psychophysiological response and quantify the Player internal load during, and after playing a Chess game. The participant was an elite 33 year-old male Chess Player ranked among the 300 best Chess Players in the world. Thus, cortical arousal by critical flicker fusion threshold, electroencephalogram by the theta Fz/alpha Pz ratio and autonomic modulation by heart rate variability were analyzed. Data revealed that cortical arousal by critical flicker fusion threshold and theta Fz/alpha Pz ratio increased and heart rate variability decreased during Chess game. All these changes indicated that internal load increased during the Chess game. In addition, pre-activation was detected in pre-game measure, suggesting that the prefrontal cortex might be preparatory activated. For these reasons, electroencephalogram, critical flicker fusion threshold and heart rate variability analysis may be highly applicable tools to control and monitor workload in Chess Player.