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全身穿戴织物集成纳米材料和软电子产品,用于实时连续运动识别,使用云计算.

Kangkyu Kwon1,2, Yoon Jae Lee1,2, Suyeong Chung2,3

  • 1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

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PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新的无线传感器套装,使用电子织品和纳米材料进行实时全身运动识别. 该系统准确地检测出八种不同的活动,为先进的医疗保健和康复应用铺平了道路.

关键词:
云计算是云计算中的一个.深度学习是一种深度学习.动作识别 运动识别 运动识别在织品中集成的传感器可以穿戴的电子产品.

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科学领域:

  • 可穿戴技术是可穿戴的技术.
  • 生物医学工程 生物医学工程
  • 材料科学是一种材料科学.

背景情况:

  • 实时人类运动识别对于持续的医疗保健和康复至关重要.
  • 现有的可穿戴传感器在无线检测全身运动方面存在局限性.
  • 软电子织集成系统为先进的运动跟踪提供了一个有希望的途径.

研究的目的:

  • 为实时,无线全身运动检测引入一种新的软电子织集成系统.
  • 证明系统能够识别广泛的人类活动的能力.
  • 探索在门诊健康监测和定制康复中的应用.

主要方法:

  • 开发一套无线传感器套装,将纳米材料和灵活的激光诱导的石墨烯应变传感器与织品相结合.
  • 利用基于深度学习的云计算进行实时运动数据分析.
  • 用多个人类实验对象进行各种活动来测试系统.

主要成果:

  • 该系统在实时预测八种不同的活动 (休息,行走,跑步,坐,上楼/下楼,俯卧,跳绳) 中达到95.3%的准确性.
  • 证明了对各种全身运动的有效无线检测.
  • 成功与智能手表和便携式设备进行集成,用于交互式应用.

结论:

  • 开发的软电子织系统可实现准确和实时的无线全身运动识别.
  • 这项技术具有重大潜力,可以彻底改变门诊健康监测和个性化康复.
  • 该系统与智能设备的集成促进了实际的现实应用.