LARa

该数据集名为LARa，包含了14位受试者的活动记录，每位受试者身上配备了五个惯性测量单元（IMUs），以100赫兹的频率进行记录，同时还有以200赫兹频率记录的动作捕捉数据（OMoCap）。这些活动基于物流订单拣选场景。数据集中还包括了个人的年龄、身高、体重和性别等特征信息，这有助于研究个人特征对人类活动识别（HAR）的影响。该数据集的规模涉及14位受试者，其任务是进行人类活动识别。

This dataset, named LARa, contains activity recordings from 14 participants. Each participant was equipped with five inertial measurement units (IMUs) that recorded data at a sampling rate of 100 Hz, along with motion capture data (OMoCap) recorded at 200 Hz. The recorded activities are based on the logistics order picking scenario. The dataset also includes personal attributes such as age, height, weight, and gender, which aids in studying the impact of individual characteristics on Human Activity Recognition (HAR). This dataset involves 14 participants and is designed for human activity recognition tasks.