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.

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。