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Design of embedded dance teaching control system based on FPGA and motion recognition processing

机译:基于FPGA和运动识别处理的嵌入式舞蹈教学系统设计

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The complex human activities, to the dance teaching, it has not been constrained, it is a difficult task for computer vision. Field-programmable gate array (FPGA) a classification of the movement of the Indian classical dance by using the powerful features of the built-in system tools. Human behavior recognition for this work, classical dance education in India from offline and live performance to the online control of material in the carried out of the guidance record of audio and dance, in. Another theme and 10 familiar dance of 200 m / bills have created, is the offline data of guidance form of a variety of classical dance in various postures. The data collection of a variety of topics. Or education attitude accounted for 60, Dance education in both cases. FPGA training and eight different sample size, will be performed by each of the multi-group object. The remaining two samples are tested, it has been trained on the FPGA. Different FPGA architecture design, and excellent recognition accuracy, because to get our test data. Compared to the same data set and of other classification model report, the recognition rate.
机译:复杂的人类活动,到舞蹈教学,它尚未受到限制,这是计算机愿景的艰巨任务。现场可编程门阵列(FPGA)通过使用内置系统工具的强大功能来分类印度古典舞蹈的分类。对这项工作的人类行为认识,在印度的古典舞蹈教育从离线和实时表现到在线控制材料的在线控制,进出音频和舞蹈的指导记录。另一个主题和10次熟悉的舞蹈为200米/账单创建,是各种姿势各种古典舞蹈指导形式的离线数据。各种主题的数据收集。或教育态度占两种情况下的60人,舞蹈教育。 FPGA培训和八种不同的样本大小将由每个多组对象执行。测试其余的两个样品,它已在FPGA上培训。不同的FPGA架构设计,以及出色的识别准确性,因为得到了我们的测试数据。与相同的数据集和其他分类模型报告相比,识别率。

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