Action recognition using spatially distributed radar setup through microdoppler signature

Smriti Rani, A. Chowdhury, Andrew Gigie, T. Chakravarty, A. Pal
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引用次数: 2

Abstract

Small form factor off-the shelf radar sensor nodes are being investigated for various privacy preserving non-contact sensing applications. This paper, presents a novel method, based on a system of spatially distributed radar setup(panel radar), for real time action recognition. Proposed method uses spatially distributed two single channel Continuous Wave (CW) radars to classify actions. For classification, a unique two layered classifier, is employed on novel features. Layer I performs coarse limb level classification followed by finer action detection in Layer II. For validation of the proposed system, 7 actions were targeted and data was collected for 20 people. Accuracy of 88.6 % was obtained, with a precision and recall of 0.9 and 0.89 respectively, hence proving the efficacy of this novel approach.
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利用微多普勒特征的空间分布雷达装置进行动作识别
小尺寸的现成雷达传感器节点正在被研究用于各种保护隐私的非接触式传感应用。本文提出了一种基于空间分布式雷达装置(面板雷达)的实时动作识别新方法。该方法利用空间分布的两个单通道连续波雷达对动作进行分类。在分类方面,采用独特的两层分类器对新特征进行分类。第一层进行粗肢体级分类,第二层进行精细动作检测。为了验证所提议的系统,针对20人收集了7项行动和数据。准确率为88.6%,查准率为0.9,查全率为0.89,证明了该方法的有效性。
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