Results 231 to 240 of about 159,503 (290)

Estimating the valence and arousal of dyadic conversations using autonomic nervous system responses and regression algorithms. [PDF]

Front Neuroergon
Chatterjee I, Goršič M, Kaya RA, Clapp JD, Novak VD.   +4 more
europepmc   +1 more source

PaGER-Sync ADICVIDEO: Player affective gaming experience & responses - synchronized ADICVIDEO dataset. [PDF]

Data Brief
Civit-Masot J, Luna-Perejón F, Muñoz-Saavedra L, Civit-Masot M, Dominguez-Morales M, Miró-Amarante L.   +5 more
europepmc   +1 more source

Exploring Quantum-Inspired Encoding Strategies in Neuromorphic Systems for Affective State Recognition. [PDF]

Sensors (Basel)
Wang F, Liang X, Du X.
europepmc   +1 more source

Immersive Virtual Reality Environments as Psychoanalytic Settings: A Conceptual Framework for Modeling Unconscious Processes Through IoT-Based Bioengineering Interfaces. [PDF]

Bioengineering (Basel)
Romeo VM.
europepmc   +1 more source

Spatiotemporal multimodal emotion recognition using Temporal video sequences and pose features for child emotion classification. [PDF]

Sci Rep
Sangeetha SKB, Boddu RSK, Bhaumik A, Mathivanan SK, Moorthy U.   +4 more
europepmc   +1 more source

"RaagaDhvani: A novel augmented multi-feature dataset: Advancing emotion recognition in Carnatic music with multimodal features and hybrid deep learning". [PDF]

Data Brief
Priyadarshini A, Divakarla U.
europepmc   +1 more source

Introduction to Affective Computing and Affective Modeling

, 2006
openaire   +1 more source

Some of the next articles are maybe not open access.

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Affective Computing

2023
With the invention of high-power computing systems, machines are expected to show intelligence at par with human beings. A machine must be able to analyze and interpret emotions to demonstrate intelligent behavior. Affective computing not only helps computers to improve performance intelligently but also helps in decision-making.
Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante   +2 more
  +4 more sources

Affective Computing

Trends in Cognitive Sciences, 1998
by Rosalind Picard, MIT Press, 1997. $27.50 (xii+292 pages) ISBN 0 262 16170 2.
  +5 more sources

Affective Computing

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1999
Although central to human development and functioning, emotions have, until recently, had a somewhat marginal status in scientific disciplines in general, and have been largely ignored in the more applied settings such as human factors. Over the past 10 years, however, research in emotion in both psychology and neuroscience has established that ...
Eva Hudlicka, Psychometrix Associates, Michael McNeese, Kevin Corker, Ray King, Jennifer Healy, Eva Hudlicka, Daniel Serfaty, Rod Wellens   +8 more
openaire   +1 more source