Problem
Research questions and friction points this paper is trying to address.
human behavior
retail activities
mobile robots
open dataset
OHRID-Retail: An Open Multimodal Dataset of Human Activity in Retail Environments
🤖 AI Summary
本文通过收集16名成年人在不同机器人引导条件下的货架拣选任务数据，构建了一个开放的多模态数据集OHRID Retail，以支持零售环境中人机交互等研究。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
multimodal dataset
human activity recognition
retail environment
robot guidance
sensor fusion
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