Modeling Of Ambulation And It's Application--based On Gait Touch Information

Energy expenditure is an important physiological parameter for the determination of functional health status, and for many other clinical assessments in normal and pathological conditions. The double-labeled water method and metabolic gas composition analysis are accurate measurement of the energy expenditure in sports. And the double-labeled water is known as the "gold standard". The measurement results of them can be setted as the true value of the energy expenditure for regression modeling. But neither of them can fit to real-time testing in the sports. With the development of sensors, many studies have founded that it has linear relationship between the acceleration signal and the energy expenditure, that is to say, the integral of the absolute value of three-dimensional acceleration signal on the time axis is proportional to the movement energy expenditure. Many scholars also concluded that it has linear relationship between the movement energy expenditure and the square of velocity. So, it can be confirmed that the movement energy expenditure can be estimated by regression modeling.On the basis of the technology of the Laboratory, this paper selected the flexible pressure sensor array as the sensor in the real-time detection of plantar pressure distribution. After obtaining information of the user's gait parameters, we establish the estimation model of walking velocity and the energy expenditure. It aims to develop a suit of prototype system which can monitor the walking energy expenditure real-time. The major works are as follows⑴Regression model of walking velocity from other gait parameters.Walking energy expenditure was related to gait touch parameters, but also related to the walking velocity which characterizes the exercise intensity. In this study, the gait touch parameters can be detected by the insole pressure sensors directly except the walking velocity. So it must establish the regression model of velocity from human attribute parameters (age, gender, height, leg length, etc.), candence, and some other parameters which can be detected conveniently.⑵The study of egression model of walking energy expenditure.The estimation model of movement energy expenditure based on the acceleration information is a common mean and method to estimate the energy expenditure of daily physical movement. This thesis selected the biomechanical gait parameters and the human attributes as the independent variables, and the walking energy expenditure as the dependent varialbe. So the regression model included both motion parameters, parameters of the individual, and it can fit to most people. The walking energy expenditure was measured by the metabolic gas analysis. It will make contributes to the national health engineering, biological medicine, sports science and other fields of human research information on energy expenditure.⑶Based on the flexible pressure sensor array, we designed embedded insole prototype system which can monitor the walking energy expenditure real-time.After detecting the biomechanical parameters and establishing the regreesion model of walking energy expenditure, we will design a prototype system which can monitor the walking energy expenditure real-time. The prototype system will detect the gait information by the flexible pressure sensor array which was low-cost and designed by our laboratory independently. The integrated circuits of signal collection and the sports shoes are packaged together. The measured parameters will be sent to a sports watch which stores the energy estimation model by a wireless radio link. The movement energy enependitue information can be stored and managed by the sports watch, it also can be displayed real-time on the sports watch. If necessary, the exercise data can be uploaded to the larger service system to obtain a more precise movement and fitness guide.