Title
Unraveling Natural Interfaces for Co-Located Groupware: Lessons Learned in an Experiment with Music
Abstract
The computer is an ubiquitous element of modern society, nonetheless, human computer interaction is still rather inflexible. Particularly in local collaborative environments, like office meetings, the property that the mouse and keyboard exhibit of being a gateway for the individual to act upon a workspace, has barred the way to the production of co-located collaboration technologies, because the users have to time-share their actions upon the workspace. Despite recent developments in touch sensitive multi-user tabletops, we still believe the portability, low cost and potentially large input area of vision sensors presents the most promising approach to unravel natural human computer interfaces. We present in this paper our design of a computationally inexpensive vision based interface that allows multiple users to interact simultaneously with a single computer by performing hand gestures, which are filmed by a static video camera. This interface attempts to continuously recognize predefined postures and movements using a view-dependent method. We also present A.C.O, a co-located groupware application that receives input from the vision-based interface and allows users around a table to collaborate playing synthesized music instruments by moving their hands. This prototype gave us important hints on the more immediate obstacles the technology must overcome.
Year
DOI
Venue
2006
10.4304/jmm.1.5.18-24
Journal of Multimedia
Keywords
DocType
Volume
index terms— co-located groupware,computer vision,gesture recognition,human computer interface
Journal
1
Issue
Citations 
PageRank 
5
0
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
João Carreira100.34
Paulo Peixoto219518.86