中国科学数据（中英文网络版）2023，Vol.8Issue(4)：477-488,12.DOI:10.11922/11-6035.csd.2023.0119.zh
基于超宽带冲激雷达的人体动作识别和心率估计数据集
A dataset of human action recognition and heart rate estimation based on Impulse-Radio Ultra-Wideband radar
摘要
Abstract
Human action recognition and heart rate estimation for indoor human targets carry significant applications in many fields such as smart homes,health care,sports analysis,etc.,and have attracted increasing attention in recent years.Impulse-Radio Ultra-Wideband(IR-UWB)radar,with its advantages in privacy protection,environmental requirements and performance,has found extensive applications in indoor human target monitoring.In view of the data demand for indoor human perception related research based on IR-UWB radar,and the issues with a lack of relevant public data and inadequacy in the authenticity of simulation data,this paper presents a dataset of human action recognition and heart rate estimation based on IR-UWB radar through typical indoor scene measurement experiments and data processing and annotation.The dataset collects 1,629 groups of action recognition data(i.e.unmanned scene data and 10 common actions such as walking,waving,squatting,etc.)from 10 human targets as well as 4,670 groups of heart rate estimation data.All data are presented in a standardized format with precise labeling,making it a valuable resource for research in relevant fields.关键词
超宽带冲激雷达/室内场景/人体动作识别/心率估计/智慧健康/数据集Key words
IR-UWB radar/indoor scene/human action recognition/heart rate estimation/smart health/dataset引用本文复制引用
郑铭凯,饶彬,王伟..基于超宽带冲激雷达的人体动作识别和心率估计数据集[J].中国科学数据（中英文网络版）,2023,8(4):477-488,12.基金项目
国家自然科学基金项目(61971429 （）
61871385) （）
深圳市科技计划项目(KQTD20190929172704911) （KQTD20190929172704911）
广东省科技计划项目(2019B121203006)National Natural Science Foundation of China(Grant No.61971429 and Grant No.61871385) （2019B121203006）
Shenzhen Science and Technology Program(Grant No.KQTD20190929172704911) （Grant No.KQTD20190929172704911）
Science and Technology Program of Guangdong Province(Grant No.2019B121203006) （Grant No.2019B121203006）
