MotionSense

该数据集名为MotionSense，包含了24名参与者的数据，这些参与者将一个惯性测量单元（IMU）装在前口袋中。他们在进行日常活动时，如走路、慢跑和坐着，这些活动以每秒50次的频率被记录下来。此外，数据集中还包含了参与者的个体特征信息，如年龄、身高、体重和性别，这为分析这些特征对人类活动识别（HAR）的影响提供了可能。该数据集的规模为24名参与者，其任务是进行人类活动识别。

This dataset is named MotionSense. It contains data collected from 24 participants, who wore an inertial measurement unit (IMU) in their front pants pocket. Daily activities such as walking, jogging and sitting were recorded at a sampling rate of 50 Hz. Additionally, the dataset includes individual characteristics of the participants including age, height, weight and gender, which enables the analysis of the impact of these characteristics on human activity recognition (HAR). The targeted task of this dataset is human activity recognition.