Title
Toward natural interaction through visual recognition of body gestures in real-time
Abstract
In most of the existing human-computer interfaces, enactive knowledge as new natural interaction paradigm has not been fully exploited yet. Recent technological advances have created the possibility to enhance naturally and significantly the interface perception by means of visual inputs, the so-called Vision-Based Interfaces (VBI). In the present paper, we explore the recovery of the user's body posture by means of combining robust computer vision techniques and a well known inverse kinematics algorithm in real-time. Specifically, we focus on recognizing the user's motions with a particular mean, that is, a body gesture. Defining an appropriate representation of the user's body posture based on a temporal parameterization, we apply non-parametric techniques to learn and recognize the user's body gestures. This scheme of recognition has been applied to control a computer videogame in real-time to show the viability of the presented approach.
Year
DOI
Venue
2009
10.1016/j.intcom.2008.10.001
Interacting with Computers
Keywords
Field
DocType
body posture,interface perception,new natural interaction paradigm,visual recognition,appropriate representation,inverse kinematics algorithm,body gesture,robust computer vision technique,human–computer interaction,existing human-computer interface,enactive knowledge,computer videogame,enactive interfaces,vision-based interfaces,human computer interaction,human computer interface,real time,computer vision,inverse kinematics
Computer vision,Natural interaction,Inverse kinematics,Gesture,Computer science,Gesture recognition,Visual recognition,Human–computer interaction,Enactive interfaces,Artificial intelligence,User interface,Perception
Journal
Volume
Issue
ISSN
21
1-2
Interacting with Computers
Citations 
PageRank 
References 
17
2.43
0
Authors
4
Name
Order
Citations
PageRank
Javier Varona121123.38
Antoni Jaume-I-Capó2469.34
Jordi GonzíLez32099.37
Francisco J. Perales410410.43