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Narrative theory and the dynamics of popular movies
Popular movies grab and hold our attention. One reason for this is that storytelling is
culturally important to us, but another is that general narrative formulae have been honed …
culturally important to us, but another is that general narrative formulae have been honed …
Theories, methods and current research on emotions in library and information science, information retrieval and human–computer interaction
Emotions are an integral component of all human activities, including human–computer
interactions. This article reviews literature on the theories of emotions, methods for studying …
interactions. This article reviews literature on the theories of emotions, methods for studying …
Amigos: A dataset for affect, personality and mood research on individuals and groups
We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
Analysis of EEG signals and facial expressions for continuous emotion detection
Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos
and movies in particular are made to elicit emotions in their audiences. Detecting the …
and movies in particular are made to elicit emotions in their audiences. Detecting the …
Deap: A database for emotion analysis; using physiological signals
We present a multimodal data set for the analysis of human affective states. The
electroencephalogram (EEG) and peripheral physiological signals of 32 participants were …
electroencephalogram (EEG) and peripheral physiological signals of 32 participants were …
Multimodal emotion recognition in response to videos
This paper presents a user-independent emotion recognition method with the goal of
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …
LIRIS-ACCEDE: A video database for affective content analysis
Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …
computational models for machine-based emotion understanding. In this paper, we propose …
Psychological stress level detection based on electrodermal activity
Y Liu, S Du - Behavioural brain research, 2018 - Elsevier
This paper presents a method for detecting psychological stress levels. It aims to explore the
feasibility of using a single physiological signal to create a more practical alternative for …
feasibility of using a single physiological signal to create a more practical alternative for …
Short-term emotion assessment in a recall paradigm
The work presented in this paper aims at assessing human emotions using peripheral as
well as electroencephalographic (EEG) physiological signals on short-time periods. Three …
well as electroencephalographic (EEG) physiological signals on short-time periods. Three …
Video affective content analysis: A survey of state-of-the-art methods
Video affective content analysis has been an active research area in recent decades, since
emotion is an important component in the classification and retrieval of videos. Video …
emotion is an important component in the classification and retrieval of videos. Video …