Walking motion recognition system by estimating position and pose of leg mounted camera device using visual SLAM

Katsunori Tai, Y. Kono
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Abstract

This paper presents the method for recognizing the walking motion of the user with estimating position and pose of leg mounted camera devices by employing Visual SLAM. Approximate displacement of the position and orientation of the sensor terminal can be estimated using output values of the acceleration sensor, the gyro sensor, and the geomagnetic sensor. It is also considered that the position and orientation of the terminal can be estimated by the image captured by the camera mounted on each terminal. The system records surrounding scenery of the user with each camera device attached to each part of the user's leg, and estimates the 3D position and orientation of each camera device by using Visual SLAM. Finally, we develop the walking training support system that does not require a special environment.
基于视觉SLAM的腿装摄像头位置和姿态估计的步行运动识别系统
本文提出了一种利用视觉SLAM技术,通过估算腿上摄像头的位置和姿态来识别用户行走运动的方法。利用加速度传感器、陀螺仪传感器和地磁传感器的输出值,可以估计传感器终端的位置和方向的近似位移。还认为,终端的位置和方向可以通过安装在每个终端上的摄像机捕获的图像来估计。系统将每个摄像设备固定在用户腿的各个部位,记录用户周围的景物,并利用Visual SLAM估计每个摄像设备的三维位置和方向。最后,我们开发了不需要特殊环境的步行训练支撑系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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