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), 31. ISSN 1073-0516 [Article]

caramiaux2015understanding.pdf - Accepted Version

Download (5MB) | Preview

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 electromyography (EMG) and mechanomyography (MMG). We present pilot studies that inspect the ability of users to control spatial and temporal variations of 2D shapes and that use muscle sensing to assess expressive information in gesture execution beyond space and time. This leads 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 interactions that draw upon nuances of expressive gesture.

Item Type:


Identification Number (DOI):


Additional Information:

© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Computer-Human Interaction, {Volume 21, Issue 6, (2015)} https://doi.org/10.1145/2687922

Departments, Centres and Research Units:

Computing > Embodied AudioVisual Interaction Group (EAVI)


14 January 2015Published
6 January 2015Accepted

Item ID:


Date Deposited:

21 Jan 2015 21:08

Last Modified:

04 Aug 2021 08:05

Peer Reviewed:

Yes, this version has been peer-reviewed.



View statistics for this item...

Edit Record Edit Record (login required)