mmFiT: mmWave Radar Point-Cloud Dataset of Human Fitness Activities

The presented dataset pertains to collection of point cloud data of seven human physical activities collected using a commercial mmwave radar working in the 77-81 GHz band. The radar used for this experiment was TI IWR1642 sensor. These seven physical activities are Dumbbell, Shoulder Press, Squat, Lateral Raise, Boxing, Right Tricep and Left Tricep. These activities have been labelled 1 to 7 respectively. Two users participated in this data collection in the age group of 25-30 years. Please refer the Readme.pdf file for more details. If this dataset or codes help you, you can cite this as: G. Tiwari and S. Gupta, "An mmWave Radar Based Real-Time Contactless Fitness Tracker Using Deep CNNs," in IEEE Sensors Journal, vol. 21, no. 15, pp. 17262-17270, 1 Aug.1, 2021, doi: 10.1109/JSEN.2021.3077511.本数据集收录了基于工作于77-81 GHz频段的商用毫米波（mmWave）雷达采集的七类人体健身动作点云数据。本次实验采用的雷达为TI IWR1642型传感器。上述七类动作分别为哑铃训练（Dumbbell）、肩部推举（Shoulder Press）、深蹲（Squat）、侧平举（Lateral Raise）、拳击（Boxing）、右侧肱三头肌训练（Right Tricep）以及左侧肱三头肌训练（Left Tricep），并分别以标签1至7进行标注。本次数据采集共有两名年龄介于25至30岁之间的受试者参与。更多细节请参阅Readme.pdf文件。若本数据集或相关代码对你的研究有所帮助，可引用如下文献：G. Tiwari与S. Gupta，《基于深度卷积神经网络的毫米波雷达非接触式实时健身追踪器》，发表于《IEEE传感器期刊》，第21卷第15期，页码17262-17270，2021年8月1日，DOI: 10.1109/JSEN.2021.3077511。

搜集汇总

背景与挑战

背景概述

该数据集包含七种健身活动的毫米波雷达点云数据，适用于活动识别和健康监测研究。数据集由两名用户参与收集，提供了详细的标签和文档支持。