Academic Journals Database
Disseminating quality controlled scientific knowledge

Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence

ADD TO MY LIST
 
Author(s): Harshith.C | Karthik.R.Shastry | Manoj Ravindran | M.V.V.N.S Srikanth | Naveen Lakshmikhanth

Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252

Volume: 1;
Issue: 2;
Start page: 31;
Date: 2010;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Ambient Intelligence Human wits | Hand gesture | Nose tips | Eye detection

ABSTRACT
Gesture recognition is mainly apprehensive on analyzing the functionality of human wits. The main goal of gesture recognition is to create a system which can recognize specific human gestures and use them to convey information or for device control. Hand gestures provide a separate complementary modality to speech for expressing ones ideas. Information associated with hand gestures in a conversation is degree, discourse structure, spatial and temporal structure. The approaches present can be mainly divided intoData-Glove Based and Vision Based approaches. An important face feature point is the nose tip. Since nose is the highest protruding point from the face. Besides that, it is not affected by facial expressions. Another important function of the nose is that it is able to indicate the head pose. Knowledge of the nose location will enable us to align an unknown 3D face with those in a face database. Eye detection is divided into eye position detection and eye contour detection. Existing works in eye detection can be classified into two major categories: traditional image-based passive approaches and the active IR based approaches. The former uses intensity and shape of eyes for detection and the latter works on the assumption that eyes have a reflection under near IR illumination and produce bright/dark pupileffect. The traditional methods can be broadly classified into three categories: template based methods, appearance based methods and feature based methods. The purpose of this paper is to compare various human Gesture recognition systems for interfacing machines directly to human wits without any corporeal media in an ambient environment.

Tango Rapperswil
Tango Rapperswil

     Save time & money - Smart Internet Solutions