Essays about: "arousal"
Showing result 16 - 20 of 76 essays containing the word arousal.
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16. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. READ MORE
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17. Electrophysiological correlates of facial width-to-height ratio : An exploratory mass univariate study
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Facial width-to-height ratio (FWHR), a facial metric, has been purported to predict threatening behaviors. Men with higher FWHR are perceived as more threatening and exhibit more threatening behaviors. In the current exploratory study, the aim was to elucidate the underlying electrophysiological correlates of FWHR. READ MORE
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18. “Music is Feeling” : Tarab: a Phenomenon of Arab Musical Culture
University essay from Uppsala universitet/Institutionen för musikvetenskapAbstract : This essay examines tarab, an Arab musical tradition deeply rooted in the Near East region, and evaluated by listeners based on its emotional effect. Tarab culture has been influenced by westernization, forces of globalization, postcolonial nationalism, and modernism since the early 20th-century, which significantly changed the face of this musical culture by the end of the century. READ MORE
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19. Emotional resilience in humans as an effect of hippocampal pattern separation
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Pattern separation is the means by which the brain discriminates similar experiences. It enables retrieval of individuated memories without confusing them with other memories. It is the reason one remembers where one parked the car today and does not mix it up with where one parked it previously. READ MORE
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20. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on minimally pre-processed multivariate EEG time series. READ MORE