| Walking movement is one of the most common fitness method, real-time monitoring humanized walking speed is the basic requirement of health promotion service, which provide important parameters for formulation personalization of health promotion service system. Acceleration signal acquisition device with low cost, small volume, low power consumption, has advantages in portable pedometer, energy consumption design. Reasonable scientific estimates speed in movement, which can provide certain guidance for People's Daily life. However, the existing speed estimation model have accuracy questioned in the application, therefore, based on the existing model, it is necessary to explore new speed estimation methods, and establish the accurate speed estimation model. This research use a new acceleration information collection device, which designed by myself and using for the data acquisition. By setting several fixed speed mode, let the volunteers walk on the treadmill, inspected the variation of acceleration and gait rule under different speed mode, extract the characteristic parameters which can better reflect the change of velocity, then get characteristic parameters to establish the estimation model of walking speed. The main work of this article is as follow:1,Constructing an uninterrupted collection comprehensive test system base on three-dimensional acceleration sensors during walking. Introduction the main modules of the hardware system form the design method and concept, the software system development environment, data collection, data analysis and process method of feature extraction. A complete set of software and hardware systems used to collected and analyzed the three-dimensional acceleration information of human body when walking movement.2,Analyzing the characteristic parameters of the human body when walking, then a new three-dimensional acceleration information collection method is proposed. The program used a acceleration sensor, using the elastic bandage fixed the sensor to the torso, make the sensor and the body form close rigid connection, using the acceleration acquisition device collect the three-dimensional acceleration signal in the process of human movement.3,Under the different speed mode, the research is about the relationship between the characteristic parameters of acceleration information and speed, and gait parameters and change rule of the speed, extract the characteristic parameters which can reflect the movement of speed. Volunteers walk on the treadmill at 3km/h, don't 4km/h,5km/h,6km/h, separately inspected the maximum, minimum, root mean square, peak and valley value of three-dimensional acceleration signal, stride length, supporting time, swinging time under the different speed mode. Comprehensive analysis the variation coefficient, operability, correlation coefficient of each parameter, then seek the characteristic parameters which can best reflect the change of velocity after that establish a reasonable accurate speed estimation modelFigure 38 Table 6 References 49... |