Affect recognition based on physiological changes during the watching of music videos

@article{Yazdani2012AffectRB,
  title={Affect recognition based on physiological changes during the watching of music videos},
  author={A. Yazdani and J. Lee and J. Vesin and T. Ebrahimi},
  journal={ACM Trans. Interact. Intell. Syst.},
  year={2012},
  volume={2},
  pages={7:1-7:26}
}
  • A. Yazdani, J. Lee, +1 author T. Ebrahimi
  • Published 2012
  • Computer Science
  • ACM Trans. Interact. Intell. Syst.
  • Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physiological signals such as the electroencephalogram (EEG) and peripheral physiological signals have been less considered for emotion recognition in comparison to other modalities such as facial expression and speech, although they have a potential… CONTINUE READING
    SmartResource Platform and Semantic Agent Programming Language (S-APL)
    13
    Dispositionality: Beyond The Biconditionals
    4
    Sectoral Energy Consumption in South Africa and Its Implication for Economic Growth
    Paranoia in African-American men receiving inpatient psychiatric treatment.
    19
    Suppression of SPIN1-mediated PI3K-Akt pathway by miR-489 increases chemosensitivity in breast cancer.
    58

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 60 REFERENCES
    Isolation and characterization of free radical scavenging activities peptides derived from casein.
    456
    The glial sling is a migratory population of developing neurons
    74
    The predictive value of thromboelastography and routine coagulation tests for postoperative blood loss in open heart surgery
    • 2010
    Impaired and facilitated functional networks in temporal lobe epilepsy☆
    84
    Determinants of exposure to respirable quartz dust in the construction industry.
    70
    Excavation, Capture, Collection, and Creation: Computer Scientists' Metaphors for Eliciting Human Expertise
    9