Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach | Zendy

Rahil Mehrizi | Zendy; Xi Peng | Zendy; Dimitris Metaxas | Zendy; Xu Xu | Zendy; Shaoting Zhang | Zendy; Kang Li | Zendy

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Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach

Author(s) -

Rahil Mehrizi,

Xi Peng,

Dimitris Metaxas,

Xu Xu,

Shaoting Zhang,

Kang Li

Publication year - 2019

Publication title -

ieee transactions on human-machine systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.873

H-Index - 123

eISSN - 2168-2305

pISSN - 2168-2291

DOI - 10.1109/thms.2018.2884811

Subject(s) - moment (physics) , computer science , inverse dynamics , task (project management) , pose , process (computing) , set (abstract data type) , force platform , artificial intelligence , joint (building) , kinematics , engineering , physical medicine and rehabilitation , medicine , physics , systems engineering , classical mechanics , programming language , operating system , architectural engineering

Goal: Lifting is a common manual material handling task performed in the workplaces. It is considered as one of the main risk factors for work-related musculoskeletal disorders. An important criterion to identify the unsafe lifting task is the values of the net force and moment at L5/S1 joint. These values are mainly calculated in a laboratory environment, which utilizes marker-based sensors to co...

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