Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino

Firman Aulia Akbar, M. T. Kurnia, Frencis Matheos Sarimole
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Abstract

In the era of rapidly developing technology, the integration between body and technology becomes real, especially in the development of human and computer interaction. This research focuses on creating prototypes of motion imaging tools using microcontroller technology, responding to the need for more intuitive interactive tools in translating human movements. Using hardware and software engineering approaches, this study designed and tested a tool consisting of Gyrometer and Flex sensors. The gyrometer measures the orientation of motion, while  the Flex sensor  detects the curvature of the gesture. Tests include calibration between sensors, integration with the  HC-05 Bluetooth transmission module as a wireless communication medium, and applications installed on smartphones as   processing output information  . The study introduced a method of gesture imaging of gestures, providing a solution to interact with computers more naturally. The urgency of this research answers the need to help translate human movement into digital input. The modeled tool is able to detect hand gestures with good accuracy. The smartphone as an output successfully displays information in the form of text and voice based on detected movements. This gesture model motion imaging tool successfully passed the testing stage, showing the effective results of the Gyrometer and Flex sensors   in detecting and translating hand movements. The Bluetooth module as a data transmitter runs well sending data to an application on the smartphone, which then displays the information accurately.
设计基于 Arduino 微控制器的手势模型成像工具原型
在科技飞速发展的时代,身体与科技的融合已成为现实,尤其是在人机交互的发展中。本研究的重点是利用微控制器技术制作运动成像工具的原型,以满足人们对更直观的交互式工具的需求。本研究采用硬件和软件工程方法,设计并测试了一种由陀螺仪和 Flex 传感器组成的工具。陀螺仪测量运动的方向,而 Flex 传感器则检测手势的弧度。测试包括传感器之间的校准、与作为无线通信媒介的 HC-05 蓝牙传输模块的集成,以及安装在智能手机上作为处理输出信息的应用程序。这项研究引入了一种手势成像方法,为更自然地与计算机进行交互提供了解决方案。这项研究的紧迫性在于满足了将人类动作转化为数字输入的需求。建模工具能够准确检测手势。作为输出,智能手机根据检测到的动作成功地以文本和语音的形式显示信息。该手势模型运动成像工具成功通过了测试阶段,显示了陀螺仪和 Flex 传感器在检测和翻译手部动作方面的有效成果。作为数据发送器的蓝牙模块运行良好,将数据发送到智能手机上的应用程序,然后准确地显示信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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