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首页> 外文期刊>International Journal of Computer Trends and Technology >Depth Sensor Based Skeletal Tracking Evaluation for Fall Detection Systems
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Depth Sensor Based Skeletal Tracking Evaluation for Fall Detection Systems

机译:基于深度传感器的跌倒检测系统骨骼跟踪评估

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摘要

Falls are very common in elderly due to various physical constraints. Since falls may cause serious injury and even death, fall detection systems are very important, especially when the victim is alone at home or is unable to seek regular/timely medical assistance. In this paper, development of a fall detection system based on Kinect sensor is evaluated. Microsoft Kinect is a low cost RGBD sensor and it has the ability to track joint positions which could prove useful as a sophisticated tool for fall detection. In this study the potential of Kinect for application in fall detection has been investigated.
机译:由于各种身体限制,跌倒在老年人中非常普遍。由于跌倒可能会导致严重的伤害甚至死亡,因此跌倒检测系统非常重要,尤其是当受害者独自一人在家或无法寻求定期/及时的医疗帮助时。本文评估了基于Kinect传感器的跌倒检测系统的开发。 Microsoft Kinect是一种低成本的RGBD传感器,它具有跟踪关节位置的能力,这可能被证明是用于跌倒检测的复杂工具。在这项研究中,已经研究了Kinect在跌倒检测中的应用潜力。

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