Simulation Method Of Vr-based Virtual Human Pose Optimization And Its Ergonomic Evaluation Application

Ship cabin interior outfitting has the characteristics of strong repetition,large workload,and variety,which mostly rely on manual labor.At this stage,the design and work arrangement of interior outfitting process are mainly based on experience and lack of ergonomic considerations,which may easily cause construction difficulties and ergonomic risks.Therefore,it is necessary to carry out ergonomics simulation evaluation in the early design stage.There are three driven modes of virtual human based simulation,which are manual driven,model driven and data driven.Online simulation with real-time virtual human data driven by motion capture is also called "human-in-the-loop" simulation.It has a strong sense of reality and can realize interaction in an immersive environment,which is the most commonly used and most effective interactive simulation mode.However,most of the common commercial motion capture equipment is expensive,the environment configuration is complicated,and additional collection equipment or markers need to be bound to the operator.In view of this,this thesis proposes a multi-device combination to construct a virtual human driven system to realize real-time driven simulation.In response to the requirements of pose accuracy,a parametric human body model is introduced,and parameters that truly reflect the shape and posture of the actual operator are obtained by means of model fitting.Finally,the interior outfitting evaluation system is formulated,and a certain type of ship’s living cabin interior outfitting is selected as a case.The prototype system is developed to verify the effectiveness of the virtual human driven method,and the ergonomics evaluation calculation is completed.The main research works of this thesis are as follows:(1)Aiming at the real-time driven of virtual human in the VR environment,a design scheme of multi-device combination is proposed.Lower body movement retargeting is realized based on the body data obtained by Azure Kinect camera;the two-hand posture acquired by Leap Motion sensor is supplemented to realize upper limb movement retargeting;the simulation image is fed back to the operator through the Huawei VR Glass helmet,while using the rotation angles acquired by helmet inertial sensor to drive virtual human head.(2)Aiming at the problem of the deviation between real-time driven data and operator’s posture,an virtual human posture fitting method is proposed.As the parameterized human body model SMPL can be controlled by shape parameters and posture parameters,the raw data collected by the Azure Kinect camera is processed and fitted with the SMPL model to obtain parameters that conforms to the shape and posture of the real operator,which can then be used for ergonomics evaluation.(3)With the advantage of virtual human data-driven simulation system and the characteristics of ship interior outfitting,an index system composed of construction object factors,construction posture factors and construction environment factors is proposed,and a fuzzy comprehensive evaluation model is established.(4)Finally,on the basis of the above research,a prototype system is developed.Simulation verification is carried out by taking a certain type of ship’s living cabin interior outfitting as an example.The result shows that the proposed virtual human data-driven system is effective,and the ergonomic evaluation and analysis can provide an effective advice for process design.