Abstract:

BACKGROUND: In the process of studying intelligent lower limbs prosthesis controller, the identification results of road conditions are usually abstract and not easy to understand no matter what measure is taken such as making use of electromyographic signal or combining kinematic with dynamic information.
OBJECTIVE: To illustrate the differences and similarities between different road conditions from the direct kinematics analysis, and to make models and simulate various road conditions by using virtual reality technology in order to make recognition results visualize.
METHODS: The mechanical modeling modules Simmechanics under Simulink were used to build model diagram of human lower limbs and then we carried out kinematics analysis to the output. The differences and similarities of kinematic information were compared between different road conditions; various road conditions and scenes were built with the help of virtual reality toolbox, and drove the model by kinematics information to achieve validated simulation of different road conditions.
RESULTS AND CONCLUSION: The results showed that it has a certain limitation to identify various road conditions by using intuitive kinematics analysis. More means and information should be used. Virtual reality toolbox could represent the corresponding movement scene well which is belonging to corresponding data. Simulation results showed that virtual reality modeling method can reproduce the true image of walking conditions of lower limb walking in the plains, slopes and stairs, and make the movement state reflected with data no longer monotonous abstract. This method can make the identified results visualize and can be taken as a measure to validate the results of road conditions identification, which can provide a good validated display platform for the identification of intelligent prosthetics mode.

Key words: bone and joint implants, biomechanics of bone and joint, human lower limbs, virtual reality, kinematics analysis, identification of road conditions, simulation, National Natural Science Foundation of China