RETRACTED: Image recognition of martial arts movements based on FPGA and image processing

Abstract

The work is to perceive the intricate karate activity groupings consequently. It is to give a proportion of the nature of the activity performed. This is because there is a problem that requires essentially model. This work can be removed from the two motion capture hardware and consumer derived from the input sequence. The solution for the skeleton's movement proposed a depth-sensing system. The speed of the body's action because there is a karate sport classification.On the other hand, because the practice with even skilled martial arts for years, behavior patterns are repetitive. Similarly, there is no interest in the commercial market for solutions used in today's computer entertainment and tutoring system. The future of collecting analysis of elements present in the correct posture, accelerated by a punch and kick, the different aspects of performance, such as synchronizing the limb's movement and evaluation. This work aims to provide a survey to evaluate the quality of the whole body movement technology. It proposes a data set and its plan to implement the first reference file of the work's future. Generally speaking, FPGA is programmable with a group of programmable interconnect resources through digital circuits or programmable logic blocks surrounded by input/output blocks. Any system silicon chip is put together. The processor and the FPGA are essentially indeed parallel.