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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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一个具有抓地强度属性的超材料计算多传感器,具有对照点的人与计算机的交互.

Yinghua Chen1, Tianrun Li1, Zhemin Wang1

  • 1State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.

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这项研究引入了一种新的超材料传感器,用于全面评估手握力,测量力,速度和耐力. 这种智能系统增强了护理点诊断和交互式医疗保健,以改善全球健康结果.

关键词:
抓地力 抓地力 抓地力 抓地力人与计算机的互动.机械超材料 机械超材料压电的电力是压电的.自动驱动的感应传感器

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科学领域:

  • 生物医学工程 生物医学工程
  • 材料科学 材料科学 材料科学
  • 计算健康 计算健康

背景情况:

  • 握力是脆弱性,大脑健康,心血管和心理健康的关键指标.
  • 开发可靠的,互动的,对多传感手握状态的点照顾设备仍然是一个重大挑战.

研究的目的:

  • 揭示软曲元材料变形和用于多维抓地传感的压电电压信号之间的关系.
  • 建立一个智能超材料计算传感器系统,用于全面的手握评估.
  • 整合人机互动游戏,以提高用户对握力测量的遵守.

主要方法:

  • 利用超弹性模型对超材料进行机械表征.
  • 采用机器学习模型用于计算传感能力.
  • 开发了一个用于视觉反和交互式游戏的图形用户界面.

主要成果:

  • 展示了一种用于感知最大抓力,抓力速度,抓力冲动和耐力指标的新方法.
  • 成功地对老年人进行了握力测量,并结合了交互式游戏.
  • 展示了实时,护理点握力评估和培训,以对患者潜在的 Sarcopenia 查.

结论:

  • 开发的智能元材料传感器为全面的手握评估提供了可靠和交互式解决方案.
  • 该系统推进了人机互动医疗保健,并建立了一个医疗照顾点的生物机械平台.
  • 该技术有可能在健康监测和早期疾病检测中得到广泛应用,为全球健康做出贡献.