Abstract
Running exercise can increase the basal metabolic rate and increase the time of aerobic exercise. Based on the current needs of the general public for running auxiliary training, this paper combines wireless sensing and blockchain technology in the design scheme, and designs and implements a running training auxiliary technology. First, it obtains the user's gait information and other related parameters in the process through the wireless sensor network, and optimize the calculation gait in different states through the noise processing algorithm. Then, we use the blockchain technology to design a data transmission and storage plan for the protection and analysis of the user's personal privacy data. The proposed method builds a new type of sports training assistance system for the masses of modern society and contributes to the masses' physical exercise.
Highlights
With the abundance of food and the reduction of physical labor, obesity has become a social problem in all countries
Modern sports medicine has proved that the energy consumption of the human body is mainly composed of basic metabolism, the thermal effect of food and physical activity [1, 2]
When the human body walks or runs, it is often accompanied by the swing of the limbs, and the periodic swing information of the body can be collected by placing the sensor on the limbs or torso [3]
Summary
With the abundance of food and the reduction of physical labor, obesity has become a social problem in all countries. Gait is a kind of information that intuitively expresses the human body’s movement state Factors such as the user’s stride speed, stride frequency and stride length during exercise determine the exercise intensity and amount of exercise [10]. With the continuous application of inertial sensors in smart devices and the in-depth research of various pedometer algorithms, the acceleration and angular velocity of gait information are collected, and the data is fused in various ways to calculate the movement velocity and attitude angle. 2. Obtain the user’s gait information and other related parameters through the wireless sensor network, and optimize the calculated gait in different states through the noise processing algorithm. 4. The proposed method has established a new type of sports training auxiliary system for the masses of modern society, and has made contributions to the masses’ physical exercise.
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