【24h】

Instrumented vest for postural reeducation

机译:用于姿势的姿势的仪器背心

获取原文

摘要

According to the World Health Organization, 85% of the world population suffers from back pain, which accounts for over 50% of physical incapacity, permanent or temporary, among individuals in working-age. In most situations, this is caused by an incorrect posture, which causes changes in the spine structure. This paper proposes an instrumented vest for postural reeducation to address this issue. The vest has a set of inertial measurement unit (IMU) sensors strategically placed to provide an accurate characterization of the spine profile. The sensor readings are classified by a central processing unit. In case of an incorrect posture, users are alerted by an audio signal and through vibration. The wearable system works in stand-alone mode, but can also communicate with external systems through an API. Two applications were developed to communicate with the device through this API, one intended to run on a desktop computer and the other one for Android devices. These applications monitor spine profiles in real time and notify the user of incorrect postures, among other functionalities. The device prototype and the applications have been tested by 10 individuals in two different settings, first without any kind of feedback and then with feedback enabled. The tests demonstrate the usability, accuracy and robustness of the system, proving its high level of reliability in classifying postures and effectiveness for postural reeducation. In the future, the system is expected to be used as a platform for a serious game, to promote posture reeducation in a real world scenario.
机译:根据世界卫生组织的数据,85岁的世界人口遭受了背痛,占工作年龄工作年龄的个人体质无能,永久或临时的50多个%。在大多数情况下,这是由不正确的姿势引起的,这导致脊柱结构的变化。本文提出了一个历史悠久的姿势重新建立的仪器背心,以解决这个问题。背心具有一组惯性测量单元(IMU)传感器,其策略性地放置,以提供脊柱轮廓的精确表征。传感器读数由中央处理单元分类。如果姿势不正确,用户通过音频信号和振动提醒用户。可穿戴系统以独立模式工作,但也可以通过API与外部系统通信。开发了两个应用程序以通过该API与设备通信,该应用程序旨在在台式计算机上运行,​​另一个用于Android设备。这些应用程序实时监视脊柱配置文件,并将用户通知不正确的姿势,以及其他功能。设备原型和应用程序已在两个不同的设置中由10个个人进行测试,首先在没有任何反馈,然后启用反馈的情况下。该测试展示了系统的可用性,准确性和鲁棒性,证明了其在分类姿势和姿势雷区效能的高度可靠性。将来,该系统预计将被用作严重游戏的平台,以促进现实世界场景中的姿势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号