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Hand-motion Recognition System using Directional Patterns of Gyroscope for Smart Device Control

机译:手动识别系统,使用陀螺仪智能设备控制的定向模式

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In this paper, I proposed the hand-motion recognition system using gyroscope for smart devices. The proposed systems includes a set of modules; gyroscope, RF transmitter/receiver, MCU for signal processing, USB connector and PC-based software. The gyroscope is used to recognize the hand-motion in three-dimension space, and communication bandwidth for transceiver is also set to 2.4~2.5GHz. The nRF24L01 module is used for wireless communication between the transmitter and receiver. For recognizing the hand-motions, the active patterns consist of directional patterns including up, down, left and right direction. Proposed hand-motion recognizing system is configured and simulated base on combinations of hand-motions. In the experimental results, the proposed system was able to recognize the hand-motions, and the results of this paper can apply proposed system to various smart fields.
机译:在本文中,我提出了使用陀螺仪进行智能设备的手动识别系统。所提出的系统包括一组模块;陀螺仪,RF发射器/接收器,用于信号处理的MCU,USB连接器和基于PC的软件。陀螺仪用于识别三维空间中的手动运动,收发器的通信带宽也设定为2.4〜2.5GHz。 NRF24L01模块用于发送器和接收器之间的无线通信。为了识别手动运动,有源图案包括定向图案,包括向上,向下,左右方向。提出的手动识别系统被配置和模拟了手动运动的组合。在实验结果中,所提出的系统能够识别手动运动,而本文的结果可以将建议的系统应用于各种智能领域。

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