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Development of a control system for electric wheelchairs based on head movements

机译:基于头部运动的电动轮椅控制系统的开发

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This paper presents an economic solution for individuals with disabilities in the legs and arms. The goal is to use an IMU (Inertial Measurement Unit) to capture movements from the user's head and through this movement be able to move an electric wheelchair. For the extraction and data processing an Arduino Uno is used for data classification and the MatLabn®nsoftware for simulating the movement. Euclidean distance, Mahalanobis distance, and artificial neural network was used for data classification. In this way, we seek an alternative to wheelchair users with greater limitations and minimizing costs for development.
机译:本文为腿部和手臂中的残障人士提供了一种经济的解决方案。目标是使用IMU(惯性测量单元)捕获用户头部的动作,并通过该动作能够移动电动轮椅。为了进行提取和数据处理,使用了Arduino Uno进行数据分类,并且MatLabn ® n软件,用于模拟运动。欧氏距离,马氏距离和人工神经网络用于数据分类。通过这种方式,我们寻求轮椅使用者的替代方案,使其具有更大的局限性并最大程度地降低开发成本。

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