Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection

F Larradet, R Niewiadomski, G Barresi… - Frontiers in …, 2020 - frontiersin.org
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 …

Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions

A Sabha, A Selwal - Multimedia Tools and Applications, 2023 - Springer
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 …

Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts

A Czepiel, LK Fink, LT Fink, M Wald-Fuhrmann… - Scientific reports, 2021 - nature.com
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 …

Audience spontaneous entrainment during the collective enjoyment of live performances: physiological and behavioral measurements

M Ardizzi, M Calbi, S Tavaglione, MA Umiltà… - Scientific reports, 2020 - nature.com
Cardiac synchrony is a crucial component of shared experiences, considered as an
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

A Darzi, D Novak - International Journal of Human-Computer Studies, 2021 - Elsevier
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 …

Applied affective computing

L Tian, S Oviatt, M Muszynski, B Chamberlain, J Healey… - 2022 - books.google.com
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 …

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 …

Are we in the zone? exploring the features and method of detecting simultaneous flow experiences based on eeg signals

B Zhang, X Li, Y Zhou, J Liu, C Zhou, W Liu… - Proceedings of the ACM …, 2024 - dl.acm.org
When executing interdependent personal tasks for the team's purpose, simultaneous
individual flow (simultaneous flow) is the antecedent condition of achieving shared team …

Automated classification of dyadic conversation scenarios using autonomic nervous system responses

I Chatterjee, M Goršič, MS Hossain… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Two people's physiological responses become more similar as those people talk or
cooperate, a phenomenon called physiological synchrony. The degree of synchrony …

Emo-FilM: a multimodal dataset for affective neuroscience using naturalistic stimuli

E Morgenroth, S Moia, L Vilaclara, R Fournier… - bioRxiv, 2024 - biorxiv.org
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 …