Gesture Recognition Implementation in MATLAB

Here we discuss technical details of MATLAB-based gesture recognition and image-based gesture identification. It's important to note that this implementation doesn't require camera input but instead processes uploaded images for recognition, making it applicable to various scenarios. For image-based gesture recognition, the system must not only identify gestures but also perform image preprocessing and optimization to improve recognition accuracy and efficiency. This typically involves background subtraction using algorithms like Gaussian Mixture Models, feature extraction through methods such as HOG (Histogram of Oriented Gradients), and classification using machine learning approaches like SVM or CNN. In practical applications, careful consideration of these technical aspects is essential to ensure the stability and accuracy of the gesture recognition system. Key MATLAB functions involved may include imread for image loading, rgb2gray for color conversion, regionprops for feature analysis, and trainClassifier for model training.