A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …
capturing human signals is a fast-growing area, which has been applied across numerous …
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 …
DECAF: MEG-based multimodal database for decoding affective physiological responses
In this work, we present DECAF-a multimodal data set for decoding user physiological
responses to affective multimedia content. Different from data sets such as DEAP [15] and …
responses to affective multimedia content. Different from data sets such as DEAP [15] and …
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Affective states, moods and emotions, are an integral part of human nature: they shape our
thoughts, govern the behavior of the individual, and influence our interpersonal …
thoughts, govern the behavior of the individual, and influence our interpersonal …
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 …
A multi-task cascaded network for prediction of affect, personality, mood and social context using eeg signals
JA Miranda-Correa, I Patras - 2018 13th IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents a multi-task cascaded deep neural network which jointly predicts
people's affective levels (valence and arousal) and personal factors using EEG signals …
people's affective levels (valence and arousal) and personal factors using EEG signals …
Arousal recognition using audio-visual features and FMRI-based brain response
As the indicator of emotion intensity, arousal is a significant clue for users to find their
interested content. Hence, effective techniques for video arousal recognition are highly …
interested content. Hence, effective techniques for video arousal recognition are highly …
Implicit user-centric personality recognition based on physiological responses to emotional videos
We present a novel framework for recognizing personality traits based on users'
physiological responses to affective movie clips. Extending studies that have correlated …
physiological responses to affective movie clips. Extending studies that have correlated …
A quality adaptive multimodal affect recognition system for user-centric multimedia indexing
R Gupta, M Khomami Abadi… - Proceedings of the …, 2016 - dl.acm.org
The recent increase in interest for online multimedia streaming platforms has availed
massive amounts of multimedia information that need to be indexed to be searchable and …
massive amounts of multimedia information that need to be indexed to be searchable and …
Examining subject-dependent and subject-independent human affect inference from limited video data
R Parameshwara, I Radwan… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Continuous human affect estimation from video data entails modelling the dynamic
emotional state from a sequence of facial images. Though multiple affective video databases …
emotional state from a sequence of facial images. Though multiple affective video databases …