mRI

mRI数据集是由威斯康星大学麦迪逊分校的研究团队创建的，专注于多模态3D人体姿态估计。该数据集包含超过160,000个同步帧，涵盖了毫米波、RGB-D和惯性传感器的数据。数据集主要用于家庭健康监测领域的远程康复训练，支持人体姿态估计和动作检测的基准测试。通过结合多种传感器的优势，mRI数据集旨在推动姿态估计、多模态学习和动作理解的研究，特别是在家庭健康监测应用中。

The mRI dataset was created by a research team from the University of Wisconsin-Madison, focusing on multimodal 3D human pose estimation. This dataset contains over 160,000 synchronized frames, covering data from millimeter-wave, RGB-D, and inertial sensors. It is primarily utilized for remote rehabilitation training in the domain of home health monitoring, and supports benchmark tests for human pose estimation and action detection. By leveraging the complementary strengths of multiple sensors, the mRI dataset aims to promote research on pose estimation, multimodal learning and action understanding, especially for home health monitoring applications.