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Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …
led to the creation of huge amount of multimedia information such as, video, audio, and text …
Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts
While there is an increasing shift in cognitive science to study perception of naturalistic
stimuli, this study extends this goal to naturalistic contexts by assessing physiological …
stimuli, this study extends this goal to naturalistic contexts by assessing physiological …
Audience spontaneous entrainment during the collective enjoyment of live performances: physiological and behavioral measurements
Cardiac synchrony is a crucial component of shared experiences, considered as an
objective measure of emotional processes accompanying empathic interactions. No study …
objective measure of emotional processes accompanying empathic interactions. No study …
Automated affect classification and task difficulty adaptation in a competitive scenario based on physiological linkage: An exploratory study
In competitive and cooperative scenarios, task difficulty should be dynamically adapted to
suit people with different abilities. State-of-the-art difficulty adaptation methods for such …
suit people with different abilities. State-of-the-art difficulty adaptation methods for such …
Applied affective computing
Affective computing is a nascent field situated at the intersection of artificial intelligence with
social and behavioral science. It studies how human emotions are perceived and …
social and behavioral science. It studies how human emotions are perceived and …
Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues
A Sabha, A Selwal - Multimedia Tools and Applications, 2024 - Springer
The multifarious video contents generated through various applications is growing
exponentially resulting in huge volumes. Analyzing these contents manually is a …
exponentially resulting in huge volumes. Analyzing these contents manually is a …
Are we in the zone? exploring the features and method of detecting simultaneous flow experiences based on eeg signals
When executing interdependent personal tasks for the team's purpose, simultaneous
individual flow (simultaneous flow) is the antecedent condition of achieving shared team …
individual flow (simultaneous flow) is the antecedent condition of achieving shared team …
Automated classification of dyadic conversation scenarios using autonomic nervous system responses
Two people's physiological responses become more similar as those people talk or
cooperate, a phenomenon called physiological synchrony. The degree of synchrony …
cooperate, a phenomenon called physiological synchrony. The degree of synchrony …
Emo-FilM: a multimodal dataset for affective neuroscience using naturalistic stimuli
Abstract The extensive Emo-FilM dataset stands for Emo tion research using Fil ms and f M
RI in healthy participants. This dataset includes detailed emotion annotations by 44 raters for …
RI in healthy participants. This dataset includes detailed emotion annotations by 44 raters for …