Electronics Project:ASL Recognition
Point
Pattern Matching Algorithm for Hand Gesture / American Sign Language (ASL)
Recognition:
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 the face and hand gesture recognition.
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 potentially make conventional input
devices such as mouse, keyboards and even touch-screens redundant. Gesture
recognition can be conducted with techniques from computer vision and image
processing.
This
project recognizes American Sign Language (ASL) input (query) images by
comparing it with the database images and outputs the equivalent ASCII representation
of it. The objective of the gesture
recognition is to identify and distinguish the human gestures and utilizes
these identified gestures for applications in specific domain. This project
aims to identify the standard gesture given by American Sign Language, or ASL,
the dominant sign language of Deaf Americans, including deaf communities in the
United States, in the English-speaking parts of Canada, and in some regions of
Mexico.
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