首页> 外文会议>2013 IEEE 13th International Conference on Rehabilitation Robotics >Non-contact capacitance sensing for continuous locomotion mode recognition: Design specifications and experiments with an amputee
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Non-contact capacitance sensing for continuous locomotion mode recognition: Design specifications and experiments with an amputee

机译:用于连续运动模式识别的非接触电容感应:截肢者的设计规格和实验

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Locomotion mode recognition plays an important role in the control of powered lower-limb prostheses. In this paper, we present a non-contact capacitance sensing system (C-Sens) to measure the interfacial signals between the residual limb and the prosthetic socket. The system includes sensing front-ends, a sensing circuit, a control circuit and foot pressure insoles. In the proposed system, the electrodes are fixed on the inner surface of the socket, which couple with the human body forming capacitors. The foot pressure insoles are built for detecting gait phases. The data sequence is controlled by the control circuit. To evaluate the capacitance sensing system, experiments with a transtibial amputee are carried out and seven kinds of locomotion modes are recorded. With the continuous phase dependent classification method and the quadratic discriminant analysis (QDA) classifier, the average recognition accuracies are 93.8% and 95.0% for the stance phase and the swing phase respectively. The results show the potential of the proposed system for the control of powered lower-limb prostheses.
机译:运动模式识别在动力下肢假体的控制中起着重要作用。在本文中,我们提出了一种非接触式电容感测系统(C-Sens),用于测量残肢和假牙插槽之间的界面信号。该系统包括传感前端,传感电路,控制电路和脚压鞋垫。在所提出的系统中,电极固定在插座的内表面上,插座与人体形成电容器耦合。脚压鞋垫用于检测步态。数据序列由控制电路控制。为了评估电容传感系统,进行了经胫骨截肢者的实验,并记录了7种运动模式。使用连续相依分类方法和二次判别分析(QDA)分类器,姿态相和摆动相的平均识别准确率分别为93.8%和95.0%。结果表明,所提出的系统可用于控制下肢动力假体。

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