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dc.contributor.authorRana, G M Rahid uz zaman
dc.date.accessioned2018-06-26T23:55:20Z
dc.date.available2018-06-26T23:55:20Z
dc.date.issued2018-05
dc.identifier.urihttp://hdl.handle.net/11122/8740
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2018en_US
dc.description.abstractThis thesis describes an efficient optimization method for predicting the maximum lifting weight considering dynamic joint strength in symmetric box lifting using a skeletal model. Dynamic joint strength is modeled as a three-dimensional function of joint angle and joint angular velocity based on experimentally obtained joint strength data. The function is further formulated as the joint torque limit constraint in an inverse dynamics optimization formulation to predict the lifting motion. In the proposed optimization formulation, external load is treated as design variables along with joint angle profiles, which are represented by control points of B-spline curves. By using this new formulation, dynamic lifting motion and strategy can be predicted for a symmetric maximum weight box lifting task with given initial and final box locations. Results show that incorporating dynamic strength is critical in predicting the lifting motion in extreme lifting conditions. The prediction outputs in joint space are incorporated in OpenSim software to find out muscles force and activity during the movement. Electromyography data are collected for a regular weight lifting to validate the integration process between the predictive model (joint model) and OpenSim model (muscle model). The proposed algorithm and analysis method based on motion prediction and OpenSim can be further developed as a useful ergonomic tool to protect workers from injury in manual material handling.en_US
dc.description.tableofcontentsChapter 1 Introduction -- 1.1 Motivation and Objectives -- 1.2 Background -- 1.2.1 Lifting Simulation -- 1.2.2 Muscle modelling -- 1.3 Overview of thesis and specific contribution. Chapter 2 Human Modelling, Kinematics, and Dynamics. Chapter 3 Optimization Formulation -- 3.1 Basic optimization formulation -- 3.2 New optimization formulation -- 3.2.1 External force as design variable -- 3.2.2 Time grid points as design variables -- 3.2.3 Dynamic joint strength. Chapter 4 Maximum Weight Prediction. Chapter 5 OpenSim Simulation for Maximum Weight Lifting -- 5.1 OpenSim -- 5.2 OpenSim simulation and processing -- 5.3 Data processing -- 5.4 Post processing and analysis -- 5.5 Results and comparison. Chapter 6 Validation of Electromyography -- 6.1 Electromyography -- 6.2 Experimental setup -- 6.3 Procedure -- 6.4 Data acquisition -- 6.5 Results and conclusion. Chapter 7 Conclusion and Future Work -- 7.1 Conclusion -- 7.2 Future Work -- Reference -- Appendix.en_US
dc.language.isoen_USen_US
dc.subjectLifting and carryingen_US
dc.subjectComputer simulationen_US
dc.subjectModelsen_US
dc.subjectHuman mechanicsen_US
dc.subjectMusculoskeletal systemen_US
dc.subjectMusclesen_US
dc.subjectJointsen_US
dc.subjectHuman bodyen_US
dc.titleMaximum weight lifting prediction considering dynamic joint strengthen_US
dc.typeThesisen_US
dc.type.degreemsen_US
dc.identifier.departmentDepartment of Mechanical Engineeringen_US
dc.contributor.chairXiang, Yujiang
dc.contributor.committeeChen, Cheng-fu
dc.contributor.committeePeterson, Rorik
refterms.dateFOA2020-03-05T17:02:11Z


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