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Understanding Gesture Expressivity through Muscle Sensing

Caramiaux, Baptiste; Donnarumma, Marco and Tanaka, Atau. 2015. Understanding Gesture Expressivity through Muscle Sensing. ACM Transactions on Computer-Human Interaction, 21(6), ISSN 1073-0516 [Article]

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Abstract or Description

Expressivity is a visceral capacity of the human body. To understand what makes a gesture expressive, we need to consider not only its spatial placement and orientation, but also its dynamics and the mechanisms enacting them. We start by defining gesture and gesture expressivity, and then present fundamental aspects of muscle activity and ways to capture information through EMG and MMG sensing. Based on the reviewed notions, we present pilot studies that inspect the ability of users to control spatial and temporal variations of 2d shapes and that inspect muscle sensing to assess expressive information in gesture execution beyond space and time. This led us to the design of a study that explores the notion of gesture power in terms of control and sensing. Results give insights to interaction designers to go beyond simplistic gestural interaction, towards the design of interaction that draw upon nuances of expressive gesture.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1145/2687922

Keywords:

gesture, expressivity, muscle sensing, electromyogram, mechanomyo- gram, feature extraction, experimental study

Departments, Centres and Research Units:

Computing > Embodied AudioVisual Interaction Group (EAVI)

Dates:

DateEvent
1 January 2015Published

Item ID:

14642

Date Deposited:

10 Nov 2015 11:09

Last Modified:

08 Aug 2017 09:46

URI:

http://research.gold.ac.uk/id/eprint/14642

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