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Vision-based human state estimation to control an intelligent passive walker

机译:基于视觉的人类国家估计,控制智能被动步行者

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The motion of a passive-type intelligent walker is controlled based on visual estimation of the motion state of the user. The controlled walker would be a support for standing up and prevent the user from falling down. The visual motion analysis detects and tracks the human upper body parts and localizes them in 3D using a stereovision approach. Using this data the user's state is estimated to be whether seated, standing up, falling down or walking. The controller activates the servo brakes in sitting, standing and falling situations as a support to insure both comfort and safety of the user. Estimation methods are experimented with a passive-type intelligent walker referred to as “RT Walker”, equipped with servo brakes.
机译:基于用户的运动状态的视觉估计来控制被动式智能步行者的运动。受控的步行者将是支持站起来并防止用户跌倒的支持。视觉运动分析检测并跟踪人的上身部件并使用立体接近将它们定位在3D中。使用此数据,用户的状态估计是坐着,站起来,摔倒或走路。控制器在坐姿,站立和下降情况下激活伺服制动器,以确保用户的舒适和安全性。估计方法是通过被称为“RT Walker”的被动式智能步行者进行实验,配备伺服制动器。

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