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Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from face and hand gesture recognition. Users can use simple gestures to control or interact with devices without physically touching them. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques.Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse.
Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices. Using the concept of gesture recognition, it is possible to point a finger at the computer screen so that the cursor will move accordingly. This could make conventional input devices such as mouse, keyboards and even touch-screens redundant.
Many method can implement to our project, but for this session I use PCA (Principal Component Analysis) to understanding the pattern of my finger. before our learning can recognition our gesture firsly we must take the samples of our gesture like figure 1.
Figure 1. Hand gesture database.
Figure 2. The Result of Recognition
If you want to know more about how PCE algoritm until can recognize the gesture please visit my older post in Here. My project in modify from my face recognition project if you want to download full project source code you can download in button below. My program run in Visual Studio 2013 if you haven't yet you can download the software HERE.