摘要
雷达人体行为感知系统具有穿透探测能力,在安防、救援、医疗等领域具有广泛的应用前景。近年来,深度学习技术的出现促进了雷达传感器在人体行为感知领域的发展,同时对相关数据集的样本规模和丰富性提出了更高的要求。该文公开了一个超宽带雷达人体动作四维成像数据集,该数据集以超宽带多输入多输出雷达为探测传感器来获取了人体目标的距离-方位-高度-时间四维动作数据,共采集了11个人体目标的2757组动作数据,动作类型包含走路、挥手、打拳等10种常见动作,有穿透探测和不穿透探测的实验场景。该文详细介绍了数据集的系统参数、制作流程、数据分布等信息。同时,基于飞桨平台使用计算机视觉领域应用较多的深度学习算法对该数据集进行人体动作识别实验,实验对比结果可以作为参考,为学者使用该数据集提供技术支撑,方便在此基础上进一步探索研究。
A radar human behavior perception system has penetration detection ability,which gives it a wide application prospect in the fields of security,rescue,medical treatment,and so on.Although the development of deep learning technology has promoted radar sensor research in human behavior perception,it requires more prompted dataset availability.This paper provides a four-dimensional imaging dataset of human activity using ultra-wideband radar,UWB-HA4D,which uses three-dimensional ultra-wideband multiple-input multipleoutput radar as the detection sensor to capture the range-azimuth-height-time four-dimensional activity data of a human target.The dataset contains the activity data of 2757 groups for 11 human targets,including 10 common activities,such as walking,waving,and boxing.It also contains penetration and nonpenetration detection experimental scenarios.The radar system parameters,data generation process,data distribution,and other information of the dataset are introduced in detail herein.Meanwhile,several deep learning algorithms that are based on the PaddlePaddle framework and are widely used in the computer version field are applied to this dataset for human activity recognition.The experimental comparison results can be used to provide references for scholars and facilitate further investigation and research on this basis.
作者
金添
宋永坤
戴永鹏
胡锡坤
宋勇平
周小龙
邱志峰
JIN Tian;SONG Yongkun;DAI Yongpeng;HU Xikun;SONG Yongping;ZHOU Xiaolong;QIU Zhifeng(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)
出处
《雷达学报（中英文）》
CSCD
北大核心
2022年第1期27-39,共13页
Journal of Radars
基金
国家自然科学基金(61971430)。
关键词
超宽带雷达
四维成像数据集
人体动作识别
深度学习
飞桨平台
Ultra-wideband radar
Four-dimensional imaging dataset
Human activity recognition
Deep learning
PaddlePaddle framework
