Abstract
This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications.
Highlights
The viability and efficiency of the developed algorithm is demonstrated, and quite good processing times are obtained in the Blackfin 533 processor (ADSP BF-533) [8], using the EZ-Kit Lite evaluation card from Analog Devices
A thinning process is performed in the region of interest to limit the amount of processed information and allow the recognition stage to be successful [9]
The success of the recognition depends on the base vectors, which is why they are established through a series of tests and statistical analysis of the results obtained by applying the algorithm developed in different interlocutors
Summary
The viability and efficiency of the developed algorithm is demonstrated, and quite good processing times are obtained in the Blackfin 533 processor (ADSP BF-533) [8], using the EZ-Kit Lite evaluation card from Analog Devices
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