عاطفه گشوارپور
دانشگاه صنعتی سهند - دانشکده مهندسی برق - آزمایشگاه علوم اعصاب محاسباتی
[ 1 ] - بررسی تفاوت‌های پاسخ به تحریکات تصویری دارای بار احساسی در زنان و مردان با استفاده از آزمون آماری ویلکاکسون
بازشناسی احساسات یکی از موضوعات چالش‌برانگیز در بین محققان بخصوص در حوزه محاسبات عاطفی محسوب می‌شود. هرچند موفقیت‌هایی در این زمینه حاصل شده است، اما هنوز الگوریتمی ارائه نشده که بتواند احساسات بشر را به‌طور کامل بازشناسی نماید. یکی از دلایل آن، ممکن است عدم توجه به تفاوت افراد در پاسخ‌دهی به یک محرک عاطفی باشد. از این میان، مهم‌ترین عامل تفاوت‌های جنسیتی در پاسخ به احساسات است. مطالعه حاضر با ...
[ 2 ] - Fusion Framework for Emotional Electrocardiogram and Galvanic Skin Response Recognition: Applying Wavelet Transform
Introduction To extract and combine information from different modalities, fusion techniques are commonly applied to promote system performance. In this study, we aimed to examine the effectiveness of fusion techniques in emotion recognition. Materials and Methods Electrocardiogram (ECG) and galvanic skin responses (GSR) of 11 healthy female students (mean age: 22.73±1.68 years) were collected ...
[ 3 ] - Combination of Empirical Mode Decomposition Components of HRV Signals for Discriminating Emotional States
Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...
[ 4 ] - Affective Visual Stimuli: Characterization of the Picture Sequences Impacts by Means of Nonlinear Approaches
Introduction: The main objective of the present study was to investigate the effect of preceding pictorial stimulus on the emotional autonomic responses of the subsequent one. Methods: To this effect, physiological signals, including Electrocardiogram (ECG), Pulse Rate (PR), and Galvanic Skin Response (GSR) were collected. As these signals have random and chaotic nature, nonlinear dynamics...
[ 5 ] - A Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes
Introduction: The importance of individual differences in the problem of emotion recognition has been repeatedly stated in the studies. The major concentration of this study was the prediction of heart rate variability (HRV) changes due to affective stimuli from the subject characteristics. These features were age (A), gender (G), linguality (L), and sleep (S) information. In addition, the most...
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