Browsing Department of Computer & Software Engineering by Subject "Affective computing"

Now showing items 1-4 of 4

    • Continuous affect prediction using eye gaze and speech. 

      O'Dwyer, Jonny; Flynn, Ronan; Murray, Niall (IEEE, 2017-12)
      Affective computing research traditionally focused on labeling a person's emotion as one of a discrete number of classes e.g. happy or sad. In recent times, more attention has been given to continuous affect prediction ...

    • Eye-based continuous affect prediction. 

      O'Dwyer, Jonny; Murray, Niall; Flynn, Ronan (IEEE Xplore, 2019-12)
      Eye-based information channels include the pupils, gaze, saccades, fixational movements, and numerous forms of eye opening and closure. Pupil size variation indicates cognitive load and emotion, while a person's gaze ...

    • Head- and eye-based features for continuous core affect prediction 

      O'Dwyer, Jonathan (Jonny) (Athlone Institute of Technology, 2020-07)
      Feelings, or affect, are a fundamental part of human experience. Arousal and valencemake up core affect and have received intense study in affective computing. Speechand facial features have been extensively studied as ...

    • Speech, head, and eye-based cues for continuous affect prediction. 

      O'Dwyer, Jonny (IEEE Xplore, 2019-12)
      Continuous affect prediction involves the discrete time-continuous regression of affect dimensions. Researchers in this domain are currently embracing multimodal model input. This provides motivation for researchers to ...