The document discusses the evolution of human-computer interaction, highlighting the shift from command line interfaces to graphical user interfaces and, more recently, to hand gesture recognition as a more natural means of interaction. It explores various methods, including template matching and feature extraction, for recognizing gestures, outlining their advantages and limitations. Additionally, it emphasizes the benefits of vision-based techniques over traditional glove-based methods in terms of cost and user comfort.

1. Essay On Recognition
As science and technology has improved on a large scale, we expect our computer system to interact with more naturally and more easily.
Previously command line interface was used to interact with computer [1].But for ease of using interface the graphical user interface is
introduced .Most of the input devices mouse, keyboard, joystick as well as touch screen is very common and traditional device for interacting
.But they do not offer natural interface. Hand gesture recognition will provide a striking alternative and which will be more natural. Gesture is
not a very new thing to us as we use hand gesture for waving goodbye [2]. With passage of time and exploring new necessity of humans its utility
has been amplified. It provides the...show more content...
Template matching is done to check whether the stored data matches to the given data. Collecting data for creating template for each of hand
posture, and then closely matched current data will leads to find posture.
Advantage is it is simplest, accurate for small set posture and required small amount of calibration.
But the problem with template matching is that it will always not work for hand gesture, and won't work for large posture sets as well.
III. Feature Extraction and Analysis:
Feature Extraction and analysis is the method of raw data analysis. Using the information of raw data the high level semantic information can be
produced which can be used for identifying postures and gesture. Feature extraction can recognize posture and posture with 97% accuracy [7].
The technique is very robust [2], that it can recognize complex and simple hand gesture.
Advantage is it can recognize both gesture and posture but it is computationally expensive.
IV. Vision Based Technique:
Vision based technique is very natural, user friendly for convenient .this provides direct communication between computer and human [8].Users
image of hand are captured by digital cameras. Different types of cameras are monocular, infrared and time of flight cameras [9]. Vision based
approach used to recognize the alphabets, ordering of number.
I think the vision based techniques are way better than glove based technique in terms of cost, user comfort, portability and
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