• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Alternating Electric Field-Based Static Gesture-Recognition Technology
【2h】

Alternating Electric Field-Based Static Gesture-Recognition Technology

机译：基于交流电场的静态手势识别技术

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。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Currently, gesture recognition based on electric-field detection technology has received extensive attention, which is mostly used to recognize the position and the movement of the hand, and rarely used for identification of specific gestures. A non-contact gesture-recognition technology based on the alternating electric-field detection scheme is proposed, which can recognize static gestures in different states and dynamic gestures. The influence of the hand on the detection system is analyzed from the principle of electric-field detection. A simulation model of the system is established to investigate the charge density on the hand surface and the potential change of the sensing electrodes. According to the simulation results, the system structure is improved, and the signal-processing circuit is designed to collect the signal of sensing electrodes. By collecting a large amount of data from different operators, the tree-model recognition algorithm is designed and a gesture-recognition experiment is implemented. The results show that the gesture-recognition correct rate is over 90%. With advantages of high response speed, low cost, small volume, and immunity to the surrounding environment, the system could be assembled on a robot that communicates with operators.
机译：当前，基于电场检测技术的手势识别已受到广泛关注，其主要用于识别手的位置和动作，而很少用于识别特定手势。提出了一种基于交变电场检测方案的非接触手势识别技术，该技术可以识别不同状态下的静态手势和动态手势。从电场检测原理分析了手对检测系统的影响。建立该系统的仿真模型以研究手表面的电荷密度和感应电极的电势变化。根据仿真结果，改进了系统结构，设计了信号处理电路来采集传感电极的信号。通过收集来自不同操作者的大量数据，设计了树模型识别算法，并进行了手势识别实验。结果表明，手势识别正确率超过90％。由于具有响应速度快，成本低，体积小以及对周围环境不敏感的优点，因此该系统可以组装在与操作员进行通信的机器人上。

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