Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking
Pedestrian identification by associating wearable and environmental sensors based on phase dependent correlation of human walking
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DOI：
10.1007/s12652-013-0191-x
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发表时间：
2014-10-01
影响因子：
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通讯作者：
Hagita, Norihiro
中科院分区：
文献类型：
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作者：
Ikeda, Tetsushi;Ishiguro, Hiroshi;Hagita, Norihiro
提供个人和位置相关的服务是购物中心等公共场所最有前途的服务之一。到目前为止，环境中的传感器已经可靠地检测到人类的当前位置，但是使用这些传感器很难识别人。另一方面，可穿戴设备可以发送个人身份信息，但精确的位置估计仍然存在问题。在本文中，我们提出了一种在环境中使用激光测距仪将可穿戴加速度计与足部跟踪结果关联起来的方法。首先，我们提出了一种基于双足足部和加速度计之间信号相关性的关联方法。然而，在拥挤的情况下，有时由于遮挡，只能观察到行人的一只脚。为了解决这个问题，我们提出了一种新的评估函数，重点关注循环行走行为的相位依赖相关性。跟踪环境中个体的示例结果证实了该方法的有效性。
Providing personal and location-dependent services is one of the promising services in public spaces like a shopping mall. So far, sensors in the environment have reliably detected the current positions of humans, but it is difficult to identify people using these sensors. On the other hand, wearable devices can send their personal identity information, but precise position estimation remains problematic. In this paper, we propose a method of associating wearable accelerometers and foot tracking results using laser range finders in the environment. First we propose an association method based on signal correlation between biped foot and accelerometer. However, in crowded situations, sometimes only one foot of a pedestrian is observed because of occlusion. To cope with the problem, we propose a new evaluation function that focuses on the phase dependent correlation of cyclic walking behavior. Example results of tracking individuals in the environment confirm the effectiveness of this method.