Research
Abstract—The design and development of a low cost hand
gesture recognition computer interface, using a standard laptop
webcam is presented. The purpose of the system is to recognise
both static and dynamic hand gestures from a user in real-time
and perform basic macro instructions on the Windows operating
system. The calibration and gesture recognition processes are
discussed. The system is able to correctly classify 19 static hand
gestures and recognise 6 dynamic hand gestures with greater
than 95% accuracy. However, the system has a varying latency of
between 50-500 milliseconds due to inefficient interfacing with the
operating system. It was concluded that an optimised operating
system interface would improve system performance and user
experience dramatically.
Stepping Stones
Final Product
Optinum solutions interview
PRASA Best Paper Award
My research can be found at :
- 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA 2019)
- Research Gate
- Semantic Scholar