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Fitness exercise recognition method and system based on multi-source data fusion

A technology of motion recognition and multi-source data, applied in the transmission system, near-field transmission system, character and pattern recognition, etc., can solve the problems of user privacy, environmental impact, high cost, etc., and achieve good user experience and accurate data collection , easy to promote the effect

Active Publication Date: 2020-07-31
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the above-mentioned methods can detect and record the user's motion, on the one hand, the cost is high, and there are user privacy issues; It is difficult to achieve accurate motion recognition in sports with large differences, such as walking, sleeping, etc., and it is difficult to meet the actual application requirements.

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  • Fitness exercise recognition method and system based on multi-source data fusion
  • Fitness exercise recognition method and system based on multi-source data fusion

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Embodiment Construction

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the fitness exercise recognition method and system based on multi-source data fusion provided in the embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0028] At present, most of the sports recording devices that can be identified by people are smart wearable devices. Among many types of wearable devices, they can identify and record the user's exercise status (walking, running, sleeping, etc.), and send them to the user through the mobile app. Smart wristbands that display relevant data for users occupy the mainstream position in the market due to their low price and long battery life. For example, domestic and foreign mainstream consumer electronics manufacturers such as Xiaomi, Huawei, Jawbone, and Misfit have launched their own smart bracelet products.

[0029] After careful research by the inve...

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Abstract

The present invention relates to a body-building motion recognition system based on multi-source data fusion, including a motion data processing device and a wearable device, wherein the motion data processing device includes a collection module for collecting motion data on fitness equipment, for A collection module for collecting exercise data on the wearable device and an analysis module for analyzing the correlation between the exercise data on the fitness equipment and the exercise data on the wearable device.

Description

technical field [0001] The invention relates to the technical field of computing and motion recognition, in particular to a fitness motion recognition method and system based on multi-source data fusion. Background technique [0002] In recent years, with the improvement of people's living standards and the enhancement of their awareness of physical fitness, more and more people have begun to exercise. Fitness venues have a wealth of fitness equipment and professional guidance, so they are deeply loved by the public. People who often exercise in fitness centers usually make exercise plans first, and record the data of each fitness exercise, so as to make the exercise process more scientific and safe. [0003] At the same time, many manufacturers have launched intelligent solutions for fitness management. For example, the domestic Titanium Technology has established a smart fitness studio, which monitors the fitness process of users in the gym through smart bracelets, smart ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62H04W4/80H04B5/00
CPCG06F18/22G06F18/251H04B5/72
Inventor 陈益强郑兆凯彭晓晖沈建飞
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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