Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from the given set of input data. Gestures are non-verbal information which is used for the better understanding of computer language.. Human gestures are perceived through vision and computer vision used to analyze different sets of gestures using. The approach proposed here is cost effective and to implement this we need less hardware and sensors are not required. The system is developed to interpret set of gestures into mouse control instructions. A vision system keeps record on the monitors the hand and tracks the colored object placed in the fingertips of each finger and the screen cursor is moved using different gestures. Raspberry Pi uses Python as the main programming language and is it linux based platfiorm and software development on Linux is easy as it is an open source code development environment. The system consist of a Raspbian camera which continuously monitors and tracks the gestures.
[1]
Pritee Khanna,et al.
Analysis of the Hand Motion Trajectories for Recognition of Air-Drawn Symbols
,
2015,
2015 Fifth International Conference on Communication Systems and Network Technologies.
[2]
B. Milner.
Handwriting recognition using acceleration-based motion detection
,
1999
.
[3]
Billur Barshan,et al.
Comparative study on classifying human activities with miniature inertial and magnetic sensors
,
2010,
Pattern Recognit..
[4]
Xin Yi,et al.
LBP-Based Segmentation of Defocus Blur
,
2016,
IEEE Transactions on Image Processing.
[5]
Mohammad Ali Akhaee,et al.
Digital video steganalysis toward spread spectrum data hiding
,
2016,
IET Image Process..