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首页> 外文期刊>Journal of Rehabilitation and Assistive Technologies Engineering >Evaluating touchless capacitive gesture recognition as an assistive device for upper extremity mobility impairment:
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Evaluating touchless capacitive gesture recognition as an assistive device for upper extremity mobility impairment:

机译:评估非接触式电容式手势识别作为上肢活动性障碍的辅助设备:

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IntroductionThis paper explores the feasibility of using touchless textile sensors as an input to environmental control for individuals with upper-extremity mobility impairments. These sensors are capacitive textile sensors embedded into clothing and act as proximity sensors.MethodsWe present results from five individuals with spinal cord injury as they perform gestures that mimic an alphanumeric gesture set. The gestures are used for controlling appliances in a home setting. Our setup included a custom visualization that provides feedback to the individual on how the system is tracking the movement and the type of gesture being recognized. Our study included a two-stage session at a medical school with five subjects with upper extremity mobility impairment.ResultsThe experimenting sessions derived binary gesture classification accuracies greater than 90% on average. The sessions also revealed intricate details in participant’s motions, from which we draw two key insights on the design of the wearable sen...
机译:简介本文探讨了使用非接触式纺织品传感器作为上肢行动不便人士的环境控制输入的可行性。这些传感器是嵌入到衣服中的电容式纺织品传感器,并且用作接近传感器。方法我们介绍了五个脊髓损伤患者的结果,他们执行的操作模仿了字母数字手势集。手势用于控制家庭环境中的设备。我们的设置包括自定义可视化,可以向个人提供有关系统如何跟踪运动以及识别的手势类型的反馈。我们的研究包括在医学院进行的一个分为两个阶段的课程,其中有五个患有上肢活动障碍的受试者。结果实验课程得出的平均手势分类准确率平均超过90%。会议还揭示了参与者动作中的复杂细节,从中我们得出了有关可穿戴设备设计的两个关键见解。

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