2018
DOI: 10.1142/s0218348x18500408
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Fractal-Based Analysis of the Influence of Auditory Stimuli on Eye Movements

Abstract: Analyzing the influence of external stimuli on human eye movements is an important challenge in vision research. In this paper, we investigate the plasticity of eye movements due to the applied auditory stimuli (music). For this purpose, we use fractal theory, which provides us with tools such as fractal dimension as an indicator of process complexity. This study, for the first time, reveals the correlation between fractal dynamics of eye movements and fractal dynamics of auditory stimuli. Based on the perform… Show more

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Cited by 46 publications
(3 citation statements)
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“…The fractal dimension is a parameter that does not require any hypothesis of signal stationarity and does not need too long records and, therefore, allows the assignment of numerical values to the EEG records to discriminate between different brain states. Previous studies have applied this quantifier to analyze EEG signals in different situations [8][9][10][11]. Finotello et al [12] extracted the EEG characteristics in sleep records using the fractal dimension.…”
Section: Introductionmentioning
confidence: 99%
“…The fractal dimension is a parameter that does not require any hypothesis of signal stationarity and does not need too long records and, therefore, allows the assignment of numerical values to the EEG records to discriminate between different brain states. Previous studies have applied this quantifier to analyze EEG signals in different situations [8][9][10][11]. Finotello et al [12] extracted the EEG characteristics in sleep records using the fractal dimension.…”
Section: Introductionmentioning
confidence: 99%
“…This section presents a circuit implementation for the three-dimensional flow (1) (see Figure 9 ). The circuit implementation in Figure 9 was constructed using six operational amplifiers and electronic elements [ 62 , 63 , 64 , 65 , 66 ]. We used TL084 operational amplifiers and AD633 analog multipliers.…”
Section: Circuit Designmentioning
confidence: 99%
“…More works be satisfied with the analysis, and less works proceeded with the fractal modelling. The reported works on analysis of DNA [2][3][4], EEG signal [5][6][7][8], s-ABR signal [9], heart rate signal [10], human respiration time series [11][12], eye movement time series [13], human stride time series [14], human face pattern [15], spider brain signal [16][17] are noteworthy to be mentioned. In all reported studies, the variation of complexity of time series or pattern analyzed in different conditions.…”
Section: Fractal Theory and Complexitymentioning
confidence: 99%