Data collection method and device for autonomous physical fitness training of university students

A technology of training data and collection methods, which is applied in the field of data processing, can solve problems such as motion monitoring errors, inaccuracies, and inability to accurately view student motion records, and achieve the effects of improving consciousness, authenticity, and accuracy

Inactive Publication Date: 2018-12-18
HUIZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring and recording of college students' sports is often realized by wearing electronic devices such as sports bracelets. However, there are errors in the sports monitoring realized in this way, and it is easy to record invalid data of students, resulting in untrue and inaccurate records of sports data. Unable to accurately view student's exercise records

Method used

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  • Data collection method and device for autonomous physical fitness training of university students
  • Data collection method and device for autonomous physical fitness training of university students
  • Data collection method and device for autonomous physical fitness training of university students

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Embodiment Construction

[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0045] The data acquisition method for college students' autonomous physical fitness training provided by this application can be applied to such as Figure 1A shown in the application environment. Wherein, the terminal 102 and the camera device 106 communicate with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, a smart phone, a tablet computer, and a portable wearable device. The terminal 102 can also be a sports bracelet and a sports watch. The terminal 102 is equipped with a gravity sensor, an acceleration sensor, a gyroscope a...

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Abstract

A aata collection method and device for autonomous physical fitness training of university students are disclosed. The method comprises the following steps of: acquiring motion data of a user and acquiring geographic position information of the user; acquiring a moving image of the user; associating the motion data, the geographic location information, and the moving image; displaying the motion data, the geographic location information, and the moving image graphically. By acquiring motion data and geographical location information of students, motion images of the students are obtained, which effectively improves the authenticity and accuracy of the motion data, effectively improves the consciousness of movement of college student, and plays a positive role in the physical and mental health of college students.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method and device for collecting data for college students' autonomous physical fitness training. Background technique [0002] In the field of college sports, many colleges and universities have already built their own PC (Personal Computer, personal computer) simple campus sports information management system, but these systems cannot actually record students' sports information every moment. Nowadays, in the large group of college students, the penetration rate of smartphones is the highest, as high as 90%. The construction of mobile client terminals based on digital campus mobile platforms is already an imminent matter in the process of informatization in colleges and universities in my country. Furthermore, traditional physical education classes in colleges and universities generally arrange two class hours (90 minutes) a week in one semester, and the tra...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q50/20
CPCG06Q50/20G06V40/20
Inventor 曾志葛庆英
Owner HUIZHOU UNIV
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