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Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

机译:传感器融合和计算机视觉,用于多自由度假体的上下文感知控制

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摘要

Objective. Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. Approach. We developed a novel context- and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semi-automatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. Main results. The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. Significance. The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees.
机译:目的。由用户自愿产生的肌电活动通常用于控制手部假体,以便在抓握过程中在健康的人类中复制肌肉的协同作用。健康人的肌肉协同作用基于视觉感知,启发式和本体感受的整合。在这里,我们演示了如何将结合了人工视觉和本体感受信息以及生物系统的高级处理特征的传感器融合有效地用于trans骨假体控制。方法。我们开发了一种新颖的情境和用户感知假肢(CASP)控制器,该控制器将计算机视觉和惯性感测与肌电活动相集成,以实现假手的半自主和反应性控制。所提出的方法半自动地提供了多个自由度(DOF)的同时和比例控制,从而在保持完全用户控制的同时减少了整体的体力劳动。在十名身体健全和一名截肢者中,将该系统与主要的商业先进肌电控制系统进行了比较。所有受试者均使用具有活动腕的trans骨假体来抓取通常与日常生活活动相关的物体。主要结果。当控制所有假体自由度时,CASP明显优于肌电界面。但是,当使用较不复杂的假体系统(自由度较少的假体)进行测试时,CASP的速度较慢,但​​达到包含较少补偿运动的运动。另一个重要发现是,CASP系统需要最少的用户适应和培训。意义。 CASP构成了对多自由度假体的控制的实质性改进。 CASP的应用在转化为现实情景时将产生重大影响,特别是在提高截肢者对高度复杂的系统(例如完整的假肢)的可用性和接受度方面。

著录项

  • 来源
    《Journal of neural engineering》 |2015年第6期|066022.1-066022.15|共15页
  • 作者单位

    Department of Translational Research and Knowledge Management, Otto Bock HealthCare GmbH, D-37115 Duderstadt, Germany;

    Department of NeuroRehabilitation Engineering, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University, D-37075 Goettingen, Germany;

    Faculty of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11020 Belgrade, Serbia;

    Department of Translational Research and Knowledge Management, Otto Bock HealthCare GmbH, D-37115 Duderstadt, Germany;

    Department of NeuroRehabilitation Engineering, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University, D-37075 Goettingen, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    sensor fusion; context awareness; user awareness; reactive control; semi-autonomous; upper limb prosthesis; control of grasping;

    机译:传感器融合上下文意识;用户意识;无功控制半自治上肢假体;控制掌握;

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