Today I read a paper titled “Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence”
The abstract is:
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 into Data-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 pupil effect
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