Recognition of American Sign Language using Image Processing and Machine Learning

In this era of touch screen devices, human machine interaction is a very important factor nowadays. Many devices are developed which can be operated without touching the system. So, in this project we are going to demonstrate how one can operate the system without actually touching the system but with the use of gestures. Human-Computer Interaction (HCI) can be described as the point of communication between the human user and a computer. Commonly used input devices include the following: keyboard, computer mouse, trackball, touchpad and a touch-screen. All these devices require manual control and cannot be used by persons impaired in movement capacity. Therefore, there is a necessity for developing various strategies of communication between human and personal computers that would be required for the persons with motor impairments and would enable them to become a part of the Information Society. In this project we will be implementing a system which will include Hand gesture recognition approach for ASL language-Sign language being a method used for communicational purposes by deaf people. We will discuss the different steps used to provide the system with the required information, to identify the provided data and further analyse the hand gestures making use of various algorithms. Hence, this system will give them a new way to interact with the computer world and the objective of connecting the specially abled with the computer world will be sufficed with the help of this project.