Action Description from 2D Human Postures in Care Facilities
Action Description from 2D Human Postures in Care Facilities
复制标题
护理设施中 2D 人体姿势的动作描述
DOI：
10.1109/lra.2020.2965394
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发表时间：
2020
影响因子：
5.2
通讯作者：
Haeyeon Lee
中科院分区：
文献类型：
--
作者：
Wataru Takano;Haeyeon Lee
本文介绍了一种根据 2D 相机图像中估计的人体姿势对全身运动进行分类的新颖方法，并随后生成相关描述。运动被编码成称为运动基元的随机运动模型。单词与运动基元相连，并且单词 n-gram 是随机表示的。更具体地说，运动观察被分类为运动基元，从中生成其相关词。这些单词按照语法正确的顺序排列，以对观察结果进行描述。这种方法对护理机构中老年人的行为进行了测试，并证明了其有效性。
This article describes a novel approach to classification of whole-body motions from estimated human postures in 2D camera images and subsequent generation of their relevant descriptions. The motions are encoded into stochastic motion models referred to as motion primitives. Words are connected to the motion primitives, and word n-grams are represented stochastically. More specifically, the motion observation is classified into the motion primitive, from which its relevant words are generated. These words are arranged in a grammatically correct order to make the descriptions for the observation. This approach was tested on actions performed by older adults in the care facility and its validity was demonstrated.