论文标题
日常生活连续活动的雷达分类
Radar Classification of Contiguous Activities of Daily Living
论文作者
论文摘要
我们考虑日常生活活动（ADL）的雷达分类，这些活动可以证明有益于秋季检测，日常工作分析以及辨别身体和认知人类状况。我们专注于与可能运动序列的人类伦理学结合和相称的连续运动分类。连续运动可以紧密连接，而没有明确的时间间隙分离。在提出的运动分类方法中，我们利用应用于雷达范围映射的ra转换来检测翻译运动，而能量探测器则用于提供现场运动的发作和偏移时间，例如坐下并站立。结果表明，运动分类在时间前进和向后执行时会产生不同的结果。从当前运动状态和可能的过渡活动内外，分类率的分类率（因此，分类率）的分类率可变。提供了运动示例，以描绘人类运动典型序列下所提出的方法的性能。
We consider radar classifications of Activities of Daily Living (ADL) which can prove beneficial in fall detection, analysis of daily routines, and discerning physical and cognitive human conditions. We focus on contiguous motion classifications which follow and commensurate with the human ethogram of possible motion sequences. Contiguous motions can be closely connected with no clear time gap separations. In the proposed motion classification approach, we utilize the Radon transform applied to the radar range-map to detect the translation motion, whereas an energy detector is used to provide the onset and offset times of in-place motions, such as sitting down and standing up. It is shown that motion classifications give different results when performed forward and backward in time. The number of classes, thereby classification rates, considered by a classifier, is made variable depending on the current motion state and the possible transitioning activities in and out of the state. Motion examples are provided to delineate the performance of the proposed approach under typical sequences of human motions.
