Research On Virtual Reality Simulation Of Human Lower Limbs Based On Simmechanics

The research of smart prosthetics has been conducted for many years in foreign country. Asthe number of disabled people rises these years, the demand for this product in our countrybecome bigger and bigger and the related deeper research become more and more. Theresearchers need to identify the walking gait of people wearing prosthetics, and then they couldtake the appropriate control method combining with the human motion law. However, theidentification process is complex and the conclusion is usually hard to understand. So in thispaper, our mission is to build the model of human lower limbs. The requirements are that thismodel can not only show features of real lower limbs in some form like a mathematical modelbut also can be driven by actual testing data or data acquired by some other way. We can getkinematics or dynamics information from it and meanwhile its motion is easy to demonstrate.For this, the main content are shown as follows:From the perspective of modeling method, to select an appropriate software, glean thecomparison and analysis about the scope of application and characteristics of commonly usedmodeling software. After doing this, the conclusion of choosing simmechanics can be obtained.On this basis, according to the simplified model of human lower limbs, modeling work is carriedout referring to data acquired from test objects, use data measured under a variety of roadconditions to prove the correctness of the model movement and analyze the kinematic outputs.To make the model movement more visualized, make use of virtual reality toolbox to buildvirtual reality scene of different road conditions with reference to the actual scene while buildinghuman lower limbs VRML model in cooperation with different scene which measured datacorrespond to. Fully call modeling resources which is provided by VR Builder.Making use of Hidden Markov Model and D-S evidence theory to identify road conditions.Select the right method by comparing them. Connect the virtual world and the Simulinkenvironment by using the interface provided by Simulink. Selecting appropriate Simulinkauxiliary driving signal, test and build the interfaces of different models under different roadconditions. Finally, import Simmechanics model motion output respectively as the virtual model input and observe whether the model movement is in line with the recognition results of roadconditions.