Research Online

Logo

Goldsmiths - University of London

Beyond Recognition: Using Gesture Variation for Continuous Interaction

Caramiaux, Baptiste; Bevilacqua, Frédéric and Tanaka, Atau. 2013. 'Beyond Recognition: Using Gesture Variation for Continuous Interaction'. In: UNSPECIFIED. UNDEFINED. [Conference or Workshop Item]

[img]
Preview
Text (Beyond Recognition: Using Gesture Variation for Continuous Interaction)
Beyond_Recognition_AltCHI2013.pdf - Published Version

Download (525kB) | Preview

Abstract or Description

Gesture-based interaction is widespread in touch screen interfaces. The goal of this paper is to tap the richness of expressive variation in gesture to facilitate continuous interaction. We achieve this through novel techniques of adaptation and estimation of gesture characteristics. We describe two experiments. The first aims at understanding whether users can control certain gestural characteristics and if that control depends on gesture vocabulary. The second study uses a machine learning technique based on particle filtering to simultaneously recognize and measure variation in a gesture. With this technology, we create a gestural interface for a playful photo processing application. From these two studies, we show that 1) multiple characteristics can be varied independently in slower gestures (Study 1), and 2) users find gesture-only interaction less pragmatic but more stimulating than traditional menu-based systems (Study 2).

Item Type:

Conference or Workshop Item (UNSPECIFIED)

Keywords:

Gestural Interaction; Continuous Interaction; Gesture Recognition; Motor Control

Departments, Centres and Research Units:

Computing
Computing > Embodied AudioVisual Interaction Group (EAVI)

Dates:

DateEvent
May 2013Published

Item ID:

8594

Date Deposited:

28 Jun 2013 07:20

Last Modified:

17 Oct 2019 08:39

URI:

http://research.gold.ac.uk/id/eprint/8594

View statistics for this item...

Edit Record Edit Record (login required)