Exercise course scoring method and system

Abstract

The invention discloses an exercise course scoring method and system. The exercise course scoring method comprises the steps: playing a course film, and obtaining the corresponding coach exercise data; obtaining student motion data through the wearable acceleration sensor; dividing the coach exercise data into a plurality of coach segments, wherein each coach segment corresponds to a plurality ofstudent segments, and portions of the student segments partially overlap each other; executing a dynamic time warping algorithm according to the coach segment and each corresponding student segment soas to obtain the student segment with the minimum error and calculate a motion score; and displaying the motion score. Therefore, feedback can be properly given to students.

Description

technical field [0001] The present invention relates to a scoring method and system, and in particular to a scoring method and system for sports courses using an acceleration sensor for scoring. Background technique [0002] With the rise of fitness in recent years, more and more people are willing to try to establish their own exercise habits. Moreover, in today's information-rich environment, many people will try to search for fitness-related instructional videos through resources such as the Internet, and exercise by imitating the actions in the videos. However, because the average person may not be able to perform the desired action correctly through imitation, it is possible to get injured by doing the wrong action before the athletic effect is achieved. In addition, without the assistance of outsiders to evaluate, ordinary users have no way of knowing whether they have gradually improved in the process of exercising, so they may be unwilling to continue exercising bec...

AI Technical Summary

Problems solved by technology

However, since the average person may not be able to perform the desired action correctly through imitation, it is possible to get injured by doing the wrong action before the athletic effect is achieved.

In addition, without the help of outsiders to evaluate, ordinary users have no way of knowing whether they have gradually improved in the process of exercise, so they may be unwilling to continue exercising because of lack of sense of accomplishment

[0003] At present, the common motion judgment systems include: using multi-lens photography equipment and computer vision processing technology to capture the user's motion posture for analysis. This kind of system costs no matter the cost of software or the production cost of digital content. are high, causing difficulties in popularization; a common way is to use a wearable inertial sensor, which at least includes an accelerometer and a magnetometer, to record the changes in the acceleration and angular velocity of the sensor in three-dimensional space during motion, In order to calculate the trajectory of the movement in the space, it can be recorded, analyzed and compared; another way is to use a wearable accelerometer to simply record the changes in the acceleration of the device in space during exercise. In such a system, The timing of data sampling is an important reference coordinate, so the usual scope of application is mainly in the motion sampling, recording, and comparison analysis of segments, and it is difficult to apply to calculate the motion similarity rate between continuous motion actions

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