Sensing strides using EMG signal for pedestrian navigation
Sensing strides using EMG signal for pedestrian navigation
复制标题
使用 EMG 信号感测步幅以进行行人导航
DOI：
10.1007/s10291-010-0180-x
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发表时间：
2011-04-01
期刊：
影响因子：
4.9
通讯作者：
Chen, Yuwei
中科院分区：
文献类型：
--
作者：
Chen, Ruizhi;Chen, Wei;Chen, Yuwei
导航应用程序和基于位置的服务现在正在成为智能手机的标准功能。然而，随时随地定位移动的用户仍然是一项具有挑战性的任务，特别是在GNSS（全球导航卫星系统）退化和拒绝的环境中，例如城市峡谷和室内环境。为了实现无缝的室内/室外定位解决方案，微机电系统传感器（诸如加速度计、数字罗盘、陀螺仪和压力传感器）正被采用作为GNSS接收器的增强技术。然而，GNSS降级和拒绝的环境通常被显著的误差源污染，这干扰了这些传感器的测量。我们引入了一种新的传感器--肌电（EMG）传感器，用于步幅检测和步幅估计，并将这些测量结果与数字指南针一起应用于简单的行人航位推算（PDR）解决方案。与感测地球重力场和传感器的运动加速度的加速度计不同，EMG传感器感测由人体的肌肉收缩产生的动作电位。肌电信号与周围环境及其干扰源无关。因此，它是一个很好的替代传感器的步幅检测和步幅长度估计。为了评估肌电信号传感器的性能，我们在运动场和沿着人行道上进行了多次现场测试，测试结果表明，步幅检测的准确率优于99.5%，肌电信号推导的行程误差小于1.5%，相应的PDR解决方案的性能与全球定位系统解决方案相当。
Navigation applications and location-based services are now becoming standard features in smart phones. However, locating a mobile user anytime anywhere is still a challenging task, especially in GNSS (Global Navigation Satellite System) degraded and denied environments, such as urban canyons and indoor environments. To approach a seamless indoor/outdoor positioning solution, Micro-Electro-Mechanical System sensors such as accelerometers, digital compasses, gyros and pressure sensors are being adopted as augmentation technologies for a GNSS receiver. However, the GNSS degraded and denied environments are typically contaminated with significant sources of error, which disturb the measurements of these sensors. We introduce a new sensor, the electromyography (EMG) sensor, for stride detection and stride length estimation and apply these measurements, together with a digital compass, to a simple pedestrian dead reckoning (PDR) solution. Unlike the accelerometer, which senses the earth gravity field and the kinematic acceleration of the sensor, the EMG sensor senses action potentials generated by the muscle contractions of the human body. The EMG signal is independent of the ambient environment and its disturbance sources. Therefore, it is a good alternative sensor for stride detection and stride length estimation. For evaluating the performance of the EMG sensor, we carried out several field tests at a sports field and along a pedestrian path. The test results demonstrated that the accuracy of stride detection was better than 99.5%, the errors of the EMG-derived travelled distances were less than 1.5%, and the performance of the corresponding PDR solutions was comparable to that of the global positioning system solutions.