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Design of an Assistive Technology Adaptive Switch using an Inertial Measurement Unit.

机译:使用惯性测量单元的辅助技术自适应开关的设计。

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摘要

A new assistive technology switch for people with disabilities was developed utilizing an Inertial Measurement Unit (IMU) as the sensor technology. The hardware can be customized through firmware to provide custom switch activations on a person by person basis. The firmware is customized to recognize specific data features in the IMU data which identify the desired switch activation movement performed by the user. In this way, the switch can be adapted to activate based on the movements of the user. During this research, the generic hardware platform, including the IMU sensor technology and Bluetooth communications, was designed and tested. An Android application was developed to communicate with the Bluetooth enabled switch to acquire the IMU sensory data for analysis.;A case study was performed to recognize thumb and pinky movements as individual switch activations. This experiment tested the feasibility of using the designed switch with an InvoTek client. A training session was performed to acquire movement data of the thumb and pinky. The acquired data was analyzed in MATLAB and a unique data feature was identified. The switch firmware was updated with the necessary algorithm to recognize and differentiate the thumb and pinky movements. Lastly, the switch was tested with 100 repetitive access movements in which the switch accurately characterized and differentiated 100% of the movements.
机译:利用惯性测量单元(IMU)作为传感器技术,开发了一种新的残疾人辅助技术开关。可以通过固件对硬件进行自定义,以逐个人员提供自定义开关激活。定制了固件以识别IMU数据中的特定数据功能,这些功能可识别用户执行的所需开关激活动作。以这种方式,开关可以适于基于用户的运动来激活。在这项研究期间,设计并测试了包括IMU传感器技术和蓝牙通信在内的通用硬件平台。开发了一个Android应用程序,可与启用蓝牙的开关进行通信,以获取IMU传感数据进行分析。;进行了案例研究,以将拇指和小指运动识别为单独的开关激活。该实验测试了将设计的交换机与InvoTek客户端一起使用的可行性。进行了训练以获取拇指和小指的运动数据。在MATLAB中分析了采集的数据,并确定了独特的数据功能。交换机固件已通过必要的算法进行了更新,以识别并区分拇指和小拇指的运动。最后,对交换机进行了100次重复访问动作的测试,其中该开关准确地表征并区分了100%的动作。

著录项

  • 作者

    Williams, Ethan Storm.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Electrical engineering.;Biomedical engineering.
  • 学位 M.S.E.E.
  • 年度 2016
  • 页码 48 p.
  • 总页数 48
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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