Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

High-precision exercise amount recognition system and method based on stride frequency

An identification method and identification system technology, which is applied in the field of sports and health management, can solve problems such as difficult to achieve fitness and disease prevention, one-sided fitness plans, and can not reflect the intensity and time of exercise, so as to achieve accurate recording of exercise volume and improve the accuracy of detection Effect

Inactive Publication Date: 2020-01-14
康灵修 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, these existing sports products are almost all based on the number of exercise steps to record the user's exercise state or use the number of steps as the exercise goal. Only the number of steps can not reflect the intensity and time of exercise. Correspondingly, based on this And the fitness plan formulated has no requirements on the size of exercise intensity and exercise time. Such a fitness plan is very one-sided, and it is difficult to achieve the purpose of fitness and disease prevention.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • High-precision exercise amount recognition system and method based on stride frequency
  • High-precision exercise amount recognition system and method based on stride frequency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Such as figure 1 As shown, the step frequency-based high-precision exercise recognition method includes the following steps:

[0030] Acquire user walking information, the walking information includes a sequence consisting of several unit time periods and user step frequencies corresponding to the unit time periods; specifically, first acquire sensor signals, including but not limited to signals from acceleration sensors, gyroscope sensors, etc. According to the sensor signal, it is judged whether the user is in a walking state. If so, the real-time movement steps of the user are obtained, recorded, and the user's stride frequency per unit time period is calculated to form the user's walking information.

[0031] In order to be able to perform step counting more accurately, it also includes a step counting data correction step. In this step, the real-time accurate step counting results (manual step counting or third-party such as WeChat, etc.) are compared with the curr...

Embodiment 2

[0043] The difference between this embodiment and Embodiment 1 is that in the step of adjusting the pitch threshold in this embodiment, the user manually sets the pitch threshold. The high-precision exercise recognition system based on stride frequency in this embodiment further includes a threshold manual setting module, which is used for the user to adjust the stride frequency threshold.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of exercise and health management, in particular to a high-precision exercise amount recognition system and method based on stride frequency. The method comprises the steps of: obtaining walking information of a user, wherein the walking information comprises a sequence formed by a plurality of unit time periods and user stride frequencies correspondingto the unit time periods; determining whether the user stride frequency in each unit time period exceeds a stride frequency threshold value or not, if yes, determining that walking in the corresponding unit time period is effective motion, and if not, determining that walking in the corresponding unit time period is invalid motion; dividing the user walking information into a plurality of effective motion time periods according to the effective motion and the invalid motion; and recording the duration of each effective exercise time period to obtain the exercise amount of the user. Accordingto the high-precision exercise amount recognition system and method based on the stride frequency, the exercise amount of a user can be accurately detected and recorded, and data support is provided for the user to make and implement a scientific fitness plan.

Description

technical field [0001] The invention relates to the technical field of exercise and health management, in particular to a high-precision exercise recognition system and method based on stride frequency. Background technique [0002] A healthy body is the foundation of people's work and life. With the continuous development of society, people pay more and more attention to physical health, and there are more and more sports products related to it, especially wearable electronic products, such as smart bracelets , smart watches, etc. are becoming more and more popular. These products first allow users to input a fitness plan, then record the user's exercise and fitness conditions, and then upload them to the server for corresponding analysis or evaluation , to a certain extent, can reduce the blindness of user exercise. [0003] However, these existing sports products are almost all based on the number of exercise steps to record the user's exercise state or use the number of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/00G16H10/60G16H20/00A61B5/11
CPCA61B5/11A61B5/1118G16H10/00G16H10/60G16H20/00
Inventor 康灵修康纪明
Owner 康灵修
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products