OHRID-Retail：零售环境中人类活动的开放多模态数据集
OHRID-Retail: An Open Multimodal Dataset of Human Activity in Retail Environments
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- University of Florida（佛罗里达大学）
- West Virginia University（西弗吉尼亚大学）
- Loss Prevention Research Council（防损研究委员会）
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中文总结 AI 辅助
本文介绍OHRID-Retail，一个包含16名成年人在三种机器人引导条件下执行货架拣选任务的多模态数据集，用于支持人类活动识别和人机交互研究。
中文摘要 AI 辅助
描述人类在与移动机器人共享环境中行为的开放数据集仍然有限，尤其是对于结合了移动、伸手、物体操作和机器人引导运动的零售活动。本文介绍了OHRID-Retail，一个开放的、以人为中心的多模态数据集，该数据集从16名健康成年人中收集，他们在三种参与者内条件下执行模拟货架拣选任务：无机器人、低速机器人引导和高速机器人引导。每位参与者在每种条件下完成两次试验。使用17个Xsens Awinda惯性传感器记录全身运动学，并使用Delsys Trigno表面肌电传感器在10个位置测量肌肉活动。描述性分析表明，在不同机器人交互条件和身体位置下，全身运动强度和肌肉激活存在差异。OHRID-Retail提供公开可用的原始记录、处理后的测量数据、文档和可复现的分析资源。该数据集可支持人类活动识别、多模态传感器融合、职业生物力学、人机工程学、人类感知机器人导航以及零售和相关共享环境中的人机交互研究。
英文摘要
Open datasets describing human behavior in environments shared with mobile robots remain limited, particularly for retail activities that combine locomotion, reaching, object handling, and robot guided movement. This paper introduces OHRID Retail, an open, human centered multimodal dataset collected from 16 healthy adults performing a simulated shelf picking task under three within participant conditions: no robot, low speed robot guidance, and high speed robot guidance. Each participant completed two trials per condition. Whole body kinematics were recorded using 17 Xsens Awinda inertial sensors and muscle activity was measured at 10 locations using Delsys Trigno surface electromyography sensors. Descriptive analyses demonstrate variation in whole body movement intensity and muscle activation across robot interaction conditions and body locations. OHRID Retail provides openly available raw recordings, processed measures, documentation, and reproducible analysis resources. The dataset can support research in human activity recognition, multimodal sensor fusion, occupational biomechanics, ergonomics, human aware robot navigation, and human robot interaction in retail and related shared environments.
