可穿戴计算机
匹配移动
运动(物理)
计量单位
工作相关肌肉骨骼疾病
惯性测量装置
工作(物理)
运动分析
运动捕捉
人体区域网
计算机科学
工程类
人为因素与人体工程学
模拟
无线
人工智能
毒物控制
电信
医学
机械工程
嵌入式系统
环境卫生
物理
量子力学
作者
Enrique Valero,Aparajithan Sivanathan,Frédéric Bosché,Mohamed Abdel‐Wahab
标识
DOI:10.1016/j.apergo.2015.11.020
摘要
Human body motions have been analysed for decades with a view on enhancing occupational well-being and performance of workers. On-going progresses in miniaturised wearable sensors are set to revolutionise biomechanical analysis by providing accurate and real-time quantitative motion data. The construction industry has a poor record of occupational health, in particular with regard to work-related musculoskeletal disorders (WMSDs). In this article, we therefore focus on the study of human body motions that could cause WMSDs in construction-related activities. We first present an in-depth review of existing assessment frameworks used in practice for the evaluation of human body motion. Subsequently different methods for measuring working postures and motions are reviewed and compared, pointing out the technological developments, limitations and gaps; Inertial Measurement Units (IMUs) are particularly investigated. Finally, we introduce a new system to detect and characterise unsafe postures of construction workers based on the measurement of motion data from wearable wireless IMUs integrated in a body area network. The potential of this system is demonstrated through experiments conducts in a laboratory as well as in a college with actual construction trade trainees.
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