Essay On Gesture Recognition
Gesture recognition is a vast and important topic in computer science and also in language technology. The main aim of gesture recognition is to interpret human gestures with the help of mathematical algorithms. Gestures can be made from any motion from any part of the body but they most commonly originate from the face or the hand. Current light on the field is thrown on reading emotions from the face or the more common hand gestures. A significant number of approaches have been made using cameras and various computer vision algorithms techniques to interpret sign language.
Gestures can be singular or in isolation or it may also involve the use of outside or external objects. Without the use of objects, we wave, beckon, fend off and most
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• Freehand Gestures
An example of such a gesture is when you take a picture of the Indian Namaste to start the projection on the wall.
• Iconic Gestures
As already discussed in section 3.1, these gestures may also include drawing icons in the air such as drawing a star which would show us the weather details or drawing a magnifying glass would show us the map.
FIGURE 3.2.1 MULTI-TOUCH GESTURE FIGURE 3.2.2 FREEHAND GESTURE
3.3 PROCESS OF GESTURE RECOGNITION
Gesture recognition as already discussed is an important aspect of Sixth Sense Technology. The complete process of gesture recognition can be divided into the following parts-
• Motion Segmentation
• Skin Color Model
• Geometric Analysis
• Motion Trajectories
• Recognizing motion patterns using Time Delay Neural Network (TDNN)
3.3.1 MOTION SEGMENTATION
Motion Segmentation is the process of separating regions, features, or trajectories from a video sequence into coherent subsets of space and time
FIGURE 3.3.1.1 MOTION SEGMENTATION
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