The interaction between humans and robots constantly evolve and adopt different tools and software to increase the comfort of humans.
In this article, I explore nine tutorials which show you different methods to detect and recognize hand.
The OpenCV library is not enough to start your project. This library provides for you the software side, but for you also need hardware. In the hardware category enters a developed platform able to run the OpenCV library, webcams, and 3D sensors such as Kinec T 3D.
The OpenCV is a free and Open-source library focused on real-time image processing. It can detect and recognize a large variety of objects, but our focus now are to apply techniques and methods to detect and Recognize the gestures of a human hand. Methods to detect the gestures of A Hand
As you can-following tutorials, there are several methods to detect the hand gestures. The skin color detection is one of the most popular methods. This are simple and depends on skin color so can be white, black, or other colors, and the environment light Condi tions, as the background.
Another method doesn ' t use the color hand; It uses the convexity detection of OpenCV. These two methods are the most popular in the maker and hacker communities and represent the simplest ways to detect and R Ecognize the gesture of humans to control robots. Hand gesture using opencv –using OpenCV 2.4, in this tutorial you can find line by line the code and explanations of A hand gesture recognition program written in C language; OpenCV python hand gesture recognition –tutorial based on OpenCV software and Python language aiming to recognize th E hand gestures. In this tutorial, your can find "program lines" extract from input frames the region of interest (ROI) The contour, how to draw the convex hull, and finally I to find the convexity defects then appears the gesture is D etected; Hand Tracking and gesture detection (OpenCV) –this guide you with step by step the "method" to shows and detect the H And in real-time, and also it ' s a demonstratioN to perform some gesture recognition. All of the images are captures using a simple web camera from laptop, and as a disadvantage, the program can have different Results if the background is changed; A method of detecting and recognising hand gestures using opencv –from This tutorial you can learn I to apply A E Fficient the Detect and recognize the hand gesture based on convexity by detection. This is has a high accuracy to recognize the gestures compared with the well-known method based on detection of hand C Ontour; Hand gesture detection and recognition using OpenCV 2 –in This article your can find the code for Hand and Gesture de Tection based on skin color model. This is the new approach tries to pass the dependence of hand color, which can is white, black, or no other color; Simple Hand tracking with Kinect + Opencv –in This tutorial you can find the code for Hand tracking with OPENCV and Kinect 3D sensor;
Extending the hand tracker with snakes and optimizations [W/code, Opencv]–this are a tutorial that approach a Tracking the hand gesture based on the hierarchical point distribution model, which are applied to the well-known active C Ontour method; Hand gesture recognition via model fitting in energy minimization w/opencv–in the This article can be found a good and simpl e solution for a 2D hand pose estimator based on a skeleton model which is fit to the hand; Hand detection using Opencv–in This tutorial a can find the code for a advanced detection method so is independent By the distance and background. The method works by filtering the hand colored pixels;
This article is last modified on April 2015.