Movement transcriptions of SECs in a componential model of emotions
ANDRÉ, Jean-Marc
Laboratoire de l'intégration, du matériau au système [IMS]
Ecole Nationale Supérieure de Cognitique [ENSC]
Institut Polytechnique de Bordeaux [Bordeaux INP]
COGNITIQUE
Laboratoire de l'intégration, du matériau au système [IMS]
Ecole Nationale Supérieure de Cognitique [ENSC]
Institut Polytechnique de Bordeaux [Bordeaux INP]
COGNITIQUE
LESPINET-NAJIB, Véronique
COGNITIQUE
Ecole Nationale Supérieure de Cognitique [ENSC]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire de l'intégration, du matériau au système [IMS]
< Réduire
COGNITIQUE
Ecole Nationale Supérieure de Cognitique [ENSC]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire de l'intégration, du matériau au système [IMS]
Langue
EN
Communication dans un congrès
Ce document a été publié dans
CHI '11 Workshop 27 -- Embodied Interaction: Theory and Practice in HCI, 2011-05-08, Vancouver.
Résumé en anglais
In this paper, we present a work-in-progress exploratory study for determining movement cues characteristics of Stimulus Evaluation Checks (SECs) responses in Scherer's Component Process Model (CPM). This study integrates ...Lire la suite >
In this paper, we present a work-in-progress exploratory study for determining movement cues characteristics of Stimulus Evaluation Checks (SECs) responses in Scherer's Component Process Model (CPM). This study integrates itself in our research on movement-based emotion recognition for augmenting ballet dance. The experimentation described in this article was designed in two parts. The first part produced a corpus of scenario-driven, acted affective sequences recorded both on video and using a motion capture system. The second part should lead to a set of movement cues characterizing some SEC responses in Scherer's CPM, to be integrated in an existing emotion recognition system, called eMotion.< Réduire
Mots clés
Affective Computing
Emotion Recognition
Component Process Model
Arts
Ballet Dance.
Mots clés en anglais
Ballet Dance
Unités de recherche