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引用次数: 0
摘要
准确测量手部活动水平（HAL）对于评估重复性手密集型工作中肌肉骨骼损伤风险至关重要。手动HAL评估通常是主观的，对于大规模或连续的监测是不切实际的。本研究提出了一个概率回归框架，该框架利用基于视频的上肢姿势轨迹来自动估计HAL分数，同时提供相关的置信度度量。通过量化不确定性的人体工程学风险评估，提出的方法提供客观可靠的HAL预测。实验结果显示了强大的域内性能（均方根误差[RMSE] = 0.24，平均绝对误差[MAE] = 0.17）和强大的跨域泛化（RMSE = 0.74, MAE = 0.54），突出了框架的准确性和可移植性。
Automatic estimation of Hand Activity Level from upper-limb trajectories: a probabilistic regression framework.
Accurate measurement of Hand Activity Level (HAL) is crucial for evaluating musculoskeletal injury risk in repetitive hand-intensive work. Manual HAL assessments are often subjective and impractical for large-scale or continuous monitoring. This study presents a probabilistic regression framework that leverages video-based upper-limb pose trajectories to automatically estimate HAL scores while providing associated confidence measures. By enabling ergonomic risk assessment with quantified uncertainty, the proposed method delivers objective and reliable HAL predictions. Experimental results demonstrate strong in-domain performance (Root Mean Square Error [RMSE] = 0.24, Mean Absolute Error [MAE] = 0.17) and robust cross-domain generalisation (RMSE = 0.74, MAE = 0.54), highlighting both the accuracy and transferability of the framework.
期刊介绍：
Ergonomics, also known as human factors, is the scientific discipline that seeks to understand and improve human interactions with products, equipment, environments and systems. Drawing upon human biology, psychology, engineering and design, Ergonomics aims to develop and apply knowledge and techniques to optimise system performance, whilst protecting the health, safety and well-being of individuals involved. The attention of ergonomics extends across work, leisure and other aspects of our daily lives.
The journal Ergonomics is an international refereed publication, with a 60 year tradition of disseminating high quality research. Original submissions, both theoretical and applied, are invited from across the subject, including physical, cognitive, organisational and environmental ergonomics. Papers reporting the findings of research from cognate disciplines are also welcome, where these contribute to understanding equipment, tasks, jobs, systems and environments and the corresponding needs, abilities and limitations of people.
All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
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