Humans understand ongoing events by breaking reality into meaningful units through a process named "event segmentation". In psychology, theories such as the "Event Segmentation theory" have been proposed to illustrate how humans perceive the structure of ongoing behavior. Parsing discrete gestures from a continuous movement stream is also a necessary step for movement analysis. Many approaches towards automatic emotion recognition from full body movement leverage automatic segmentation methods. Nonetheless, to the best of my knowledge, no framework has applied Event Segmentation theory to the automatic segmentation of emotion conveying movements. In this paper, I propose the exploitation of a computational model of event segmentation to extend a movement-analysis framework with an event segmentation module.

The role of emotion in movement segmentation

CECCALDI, ELEONORA;Volpe, Gualtiero
2018-01-01

Abstract

Humans understand ongoing events by breaking reality into meaningful units through a process named "event segmentation". In psychology, theories such as the "Event Segmentation theory" have been proposed to illustrate how humans perceive the structure of ongoing behavior. Parsing discrete gestures from a continuous movement stream is also a necessary step for movement analysis. Many approaches towards automatic emotion recognition from full body movement leverage automatic segmentation methods. Nonetheless, to the best of my knowledge, no framework has applied Event Segmentation theory to the automatic segmentation of emotion conveying movements. In this paper, I propose the exploitation of a computational model of event segmentation to extend a movement-analysis framework with an event segmentation module.
2018
9781450365048
File in questo prodotto:
File Dimensione Formato  
2018_conferences_moco_3.pdf

accesso chiuso

Tipologia: Documento in versione editoriale
Dimensione 483.67 kB
Formato Adobe PDF
483.67 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/933095
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact