A Parallel Algorithm for Real-Time Hand Gesture Recognition
One of the most widely researched topics in the field of Human Computer Interaction is hand gesture recognition, where hand movements are used to control computers. But current methods have multiple problems, including an inability to function in real-time interactive applications. The goal of this project was to develop a real-time hand gesture recognition algorithm that can recognize several gestures for use in computer interface interaction. To demonstrate usefulness, a practical application was developed utilizing 2 gestures, as well as the tracking function of the algorithm. The application allowed a user to utilize hand movements to replace the mouse. Through this, a user was able to manipulate windows on a computer, interface with standard applications such as MS Paint, use a 3D model viewer, and play a computer game. This innovative technology has several uses including in the medical field, sign language recognition, and more.
Awards Won:
AzSEF 2010 Intel Excellence in Computer Science Award ($200)
AzSEF 2010 1st Place in Computer Science
Arizona Governor's Future Innovator Award ($1,000)
Press Links:
Business Wire Article of GCOI Future Innovator's Award
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