Human MotionLess Dataset (HuMoLs)
Date Available
2024-08-20Type
imageData Creator
Chen, LongfeiRaza, Muhammad Ahmed
Fisher, Robert B
Publisher
University of Edinburgh. School of Informatics. Institute of Perception Action and BehaviourRelation (Is Referenced By)
https://www.arxiv.org/abs/2408.09409Metadata
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Citation
Chen, Longfei; Fisher, Robert B; Raza, Muhammad Ahmed. (2024). Human MotionLess Dataset (HuMoLs), [image]. University of Edinburgh. School of Informatics. Institute of Perception Action and Behaviour. https://doi.org/10.7488/ds/7796.Description
The HuMoLs dataset consists of 101 videos capturing a single human subject in a motionless state. The dataset can used for motion detection in healthcare monitoring settings, or other experiments. The dataset is designed to aid in detecting inactivity or loss of consciousness in various scenarios. To preserve anonymity, each volunteer's face has been deepfaked. Each frame may have a slightly different face. The dataset can be used freely, but you must cite: OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare. Longfei Chen, Subramanian Ramamoorthy, Robert B Fisher. Proc. ECCV workshop/ACVR, 2024.
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