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DESIGN OF A SMART GLOVE USING FLEXIBLE TECHNOLOGY FOR ARTIFICIAL GRIPPER

机译:使用灵活技术为人工夹具设计智能手套的设计

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The paper presents the design of a smart glove with flexible sensors integrated with wireless technology to measure the signals of grabbing and grasping. The sensor technology is structured into three phases: sensor calibration, amplification and digitizer of the wearable sensors. The real-time raw data is collected, filters are designed to remove the noise and relay the information to the developed application via Bluetooth. The Bluetooth module communicates with an android mobile application through the Bluetooth networks known as the piconets. Piconets use a master/slave model with a Bluetooth module to control and send data that communicates with a smart device. The mobile application sends and receives information to/from the Bluetooth module and the mobile device. This allows the user to analyze the forces applied in each finger for various operations. The interactive glove interfaced with mobile technology provides gesture recognition and maps the finger orientation. The purpose of designing such a glove is to train the user how to improve their hand defense mechanism as the mobile device informs about the multi finger gripper control. To improve the quality of hand rehabilitation, the proposed design can provide physicians an efficient tool to evaluate the recovery of patient's hand injury.
机译:本文介绍了一种智能手套的设计,具有灵活的传感器,集成了无线技术,以测量抓取和抓握的信号。传感器技术构成为三个阶段:可穿戴传感器的传感器校准,放大和数字转换器。收集实时原始数据,滤波器旨在通过蓝牙去除噪声并将信息中继到开发的应用程序。蓝牙模块通过称为微微网的蓝牙网络与Android移动应用程序通信。微微网使用具有蓝牙模块的主/从模型来控制和发送与智能设备通信的数据。移动应用程序向/从蓝牙模块和移动设备发送和接收信息。这允许用户分析每个手指中应用的力以进行各种操作。与移动技术接口的互动手套提供手势识别并映射手指方向。设计这种手套的目的是训练用户如何改善他们的手防机制,因为移动设备通知多指夹具控制。为了提高手工康复的质量,所提出的设计可以提供医生一个有效的工具来评估患者手伤的恢复。

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