Motion Modeling for Expressive Interaction

Caramiaux, Baptiste. 2014. 'Motion Modeling for Expressive Interaction'. In: International Workshop on Movement and Computing (MOCO). IRCAM, France. [Conference or Workshop Item]

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Abstract or Description

While human-human or human-object interactions involve very rich, complex and nuanced gestures, gestures as they are captured for human-computer interaction remain relatively simplistic. Our approach is to consider the study of variation of motion input as a way of understanding expression and expressivity in human-computer interaction and in order to propose computational solutions for capturing and using these expressive variations. The paper reports an attempt at drawing the lines of design guidelines for modeling systems adapting to motion variations. We propose to illustrate them through two case studies: the first model is used to estimate temporal and geometrical motion variations while the second is used to track variations of motion dynamics. These case studies are illustrated in two applications

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):


Motion, Expressivity, Interaction Design, Machine Learning, Adaptive Systems, Bayesian inference, Particle Filtering, Creative Applications

Departments, Centres and Research Units:

Computing > Embodied AudioVisual Interaction Group (EAVI)


June 2014Published

Event Location:

IRCAM, France

Item ID:


Date Deposited:

23 Jan 2015 12:22

Last Modified:

29 Apr 2020 16:05


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