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

机译：基于FPGA和图像处理的武术运动的图像识别

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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.
机译：这项工作是感知错综复杂的空手道活动分组。它是给出所做活动的一部分。这是因为有一个问题需要基本模型。可以从两个运动捕获硬件和来自输入序列的消费者中删除此工作。骨架运动的解决方案提出了一种深度传感系统。身体行动的速度是因为有空手道运动分类。另一方面，由于甚至熟练的武术多年来，行为模式是重复的。同样，在当今计算机娱乐和辅导系统中使用的解决方案没有兴趣。收集对正确姿势的元素分析的未来，由冲床和踢加速，性能的不同方面，如同步肢体的运动和评估。这项工作旨在提供调查来评估全身运动技术的质量。它提出了一种数据集及其计划，以实现工作未来的第一个参考文件。一般而言，FPGA通过数字电路或由输入/输出块包围的可编程逻辑块，与一组可编程互连资源进行编程。任何系统硅芯片都放在一起。处理器和FPGA基本上实际上是平行的。

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