首页> 美国卫生研究院文献>Micromachines >Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array
【2h】

Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array

机译:基于柔性表皮触觉传感器阵列的智能手表手势识别装置的实现

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors, and other types of sensors have been used to identify gestures. However, there are different drawbacks for each sensor, which affect the detection of gestures. In this paper, we present a new gesture recognition method using a Flexible Epidermal Tactile Sensor based on strain gauges to sense deformation. Such deformations are transduced to electric signals. By measuring the electric signals, the sensor can estimate the degree of deformation, including compression, tension, and twist, caused by movements of the wrist. The proposed sensor array was demonstrated to be capable of analyzing the eight motions of the wrist, and showed robustness, stability, and repeatability throughout a range of experiments aimed at testing the sensor array. We compared the performance of the prototype device with those of previous studies, under the same experimental conditions. The result shows our recognition method significantly outperformed existing methods.
机译:自从数字设备的发展以来,手势的识别就在许多人机界面应用中发挥了重要作用。已经开发了各种可穿戴设备,并且惯性传感器,磁传感器,陀螺仪传感器,肌电图,力敏电阻器和其他类型的传感器已用于识别手势。但是,每个传感器都有不同的缺点,这些缺点会影响手势的检测。在本文中,我们提出了一种新的手势识别方法,该方法使用基于应变仪的柔性表皮触觉传感器来感应变形。这样的变形被转换为电信号。通过测量电信号,传感器可以估计由腕部运动引起的变形程度,包括压缩,拉伸和扭曲。所提出的传感器阵列被证明能够分析手腕的八个运动,并且在旨在测试传感器阵列的一系列实验中均显示出鲁棒性,稳定性和可重复性。在相同的实验条件下,我们将原型设备的性能与先前的研究进行了比较。结果表明,我们的识别方法明显优于现有方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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