MEx

该数据集名为MEx，是一个集成了多种传感器和模式的数据集，旨在为人类活动识别（HAR）和多模态融合算法提供一个基准，其重点在于识别和评估患有肌肉骨骼疾病（MSD）患者的运动表现质量。该数据集包含了来自四个传感器收集的数据：一个压力垫、一个深度摄像头和两个加速度计，这些传感器捕捉了针对MSD管理的推荐运动。该数据集的规模涵盖了30名志愿者执行的7种运动，任务包括人类活动识别（HAR）以及运动质量评估。

The dataset named MEx is a multi-sensor and multi-modal integrated dataset aimed at providing a benchmark for human activity recognition (HAR) and multimodal fusion algorithms, with a focus on identifying and evaluating the quality of motor performance in patients with musculoskeletal disorders (MSD). It contains data collected from four sensors: a pressure mat, a depth camera, and two accelerometers, which capture the recommended exercises for MSD management. The dataset covers 7 types of exercises performed by 30 volunteers, and its tasks include human activity recognition (HAR) and motor quality assessment.