Gait Analysis Of Lower Rehabilitation Training Robot Based On Kinect

According to statistics,in 2015,there are 222 million of the population at the age of 60 and even over the age of 60.It reachded the total population of 16.15%.By 2020,there will be 248 million elderly population.The aging of the population will be 17.17%.There are 30 million 670 thousand people who are older people over the age of 80.Until 2025,there will be 300 million people over the age of 60.It will be facing the aging period in our country.It is very serious.The body function of the elderly is gradual decline.It will cause the lower limb coordination and fall.In addition,due to illness,traffic accidents and injury on-the-job,the number of lower extremity disability have been rising.Due to the aging of the population and the increasing of mechanical damage,the quality of life of these disabled people has declined.At the same time,it has increased the social and economic burden of the country.It has restrained the rapid economic development of the country.In order to improve the physical function of people with lower limb disorders,proper training is required.In training,the gait information of the lower limb is analyzed,which helps to reduce the probability of unexpected occurrence.This topic is based on the Kinect sensor to build a rehabilitation training robot,through the Kinect detected the gait information of the human lower limb.Eight marks are pasted on the frontal surfaces of lower limb and each lower limb has half number,Kinect plane are detected persistently.It also got vertical height of each marker from the ground and calculated the human knee joint angle.Then,the knee joint angle and time series model are modeled and the Kalman filter is used to predict and estimate the knee joint.At the same time,the rationality and validity of this method is verified by the simulation data from the experiment.Then,according to the difference between the actual and predictive values of gait.A detailed and in-depth study of the moving average method is used to identify the effects of gait.Finally,the moving average method is used to identify the normal gait with symmetry and asymmetry.In order to recognize the gait pattern and take some essential measures to avoid the rehabilitation accident as soon as possible,the reference criterion is developed by calculating the average deviations between predictive values and estimated values at a period of time.The normal gait is determined if the average deviation at the same period of time is located in the reference criterion above,otherwise the abnormal gait is determined and start the alarm to call the medical workers for help.