基于智能手机的人体竖直运动探测
首发时间:2014-10-30
摘要:智能手机的快速发展,使得越来越多的传感器集成到手机当中,它们极大地丰富了手机的功能,使其感知外部世界的能力不断增强。利用这些传感器,如GPS、磁感应计、陀螺仪、加速计等,可以探测人体目前所处的位置、移动的距离和方向等信息。如何使用这些传感器描述人体的运动情况已经成为当前的研究热点。本文中,我们分析了智能手机中传感器数据的特点,并提出了一种简单有效的方法来处理噪声数据;然后我们提出了电梯中人体运动模型,并从位置感知的角度提出了位置估计算法。实验结果表明,我们的方法可以准确的判断出人体在室内运动中所处的楼层信息,完全满足室内3D定位的需求。
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Vertical Displacement estimation based on smart phones
Abstract:With the explosive growth of smartphones, more and more sensors are integrated into smartphones, which improve the ability of smartphones to sense the world, and enrich user experience. Taking advantage of these sensors, such as GPS, accelerometer, gyroscope and magnetometer, we can get information about our position, velocity and direction of movement. How to use this information to describe the movement of the human body has become a research focus. In this paper, we analyze the characteristics of smartphone's sensor data and propose a simple and effective way to process noisy data; then we build up the human motion module in an elevator and propose displacement estimation algorithm from the point of location sensing. The outcome of the distance estimates shows that the altitude information is quite accurate and able to meet the requirements of 3D localization indoor.
Keywords: smartphone noisy data vertical displacement
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No.4614413101014914****
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