Design And Implementation Of Dumbbell Exercise Prescription System Based On Android Platform

Every fitness person will exercise strength,and proper exercise can help fitness people achieve a good level of physical fitness.However,for non-professional fitness people,their actions are more or less non-standard phenomenon,it is easy to cause damage to the human body.To solve the problem,this article designed a dumbbell exercise prescription system based on the Android platform.Dumbbells are the most representative of the free track strength exercises.Therefore,this article uses dumbbells as a research object.A motion analysis is performed on the dumbbell motion to determine the motion parameters to be acquired,and the sensor is selected based on the motion parameters.In this system,the MPU6050 was selected for the exercise data collection during dumbbell exercise,and the ESP 8266Wi-Fi module was used for wireless transmission between the data.A companion APP was developed on the Android platform for this system.The APP implements functions such as track display,motion recognition,number statistics,and interactive guidance.In order to identify the dumbbell movement,the three-axis acceleration signal was preprocessed by smoothing and denoising,and the action period was divided.The 12-dimensional characteristic parameters of the mean,standard deviation,and extreme value of the triaxial acceleration signal were extracted.Based on the traditional KNN algorithm,The decision tree algorithm is integrated,which has a good recognition effect on the six kinds of dumbbell movements involved in this article.The average recognition rate reaches 96.7%.In order to evaluate the effect of strength training,a corresponding database of normative templates is created for different types of movements,and feedback guidance and correction are given according to the parameters such as offset and duration in the movement process.The DTW algorithm is used to compare the similarity between the actual movement curve and the normative template movement.Degree,and the overall situation to correct the exercise prescription.Finally,the feasibility of this system was verified by long-term experiments.