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Personal trainer smart bracelet based on autonomous motion recognition technology

A technology of motion recognition and smart bracelets, applied in mechanical mode conversion, input/output of user/computer interaction, medical science, etc., can solve the problem that the expert knowledge base cannot provide self-correcting standard action functions, and cannot independently define standard actions, etc. question

Inactive Publication Date: 2017-10-31
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] However, the current smart bracelets with motion recognition kinetic energy are mainly based on the existing expert knowledge base for motion recognition, and can only compare and analyze the recognized actions with the expert knowledge base for users to view and learn
These devices cannot independently define standard actions and build a private standard library; the expert knowledge base cannot provide the function of self-correcting standard actions

Method used

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  • Personal trainer smart bracelet based on autonomous motion recognition technology
  • Personal trainer smart bracelet based on autonomous motion recognition technology
  • Personal trainer smart bracelet based on autonomous motion recognition technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0137] For the specific usage of the personal trainer smart bracelet, please refer to figure 1 .

[0138] When the user selects the value of selectedmodel to be 0 on the display screen, the wristband enters the defined action mode:

[0139] (1) The wristband vibrates to remind the user to exercise; the user starts to define the first action for building a library, such as the swing action when playing badminton;

[0140] (2) The six-axis acceleration sensor records a motion data, that is, the matrix composed of the acceleration of the collected hand motion, denoted as

[0141]

[0142] The first line represents the hand acceleration along the X axis, a 1x1 Indicates the first hand acceleration along the X-axis collected by the sensor when the action is in progress, a 1x2 Indicates the second hand acceleration along the X-axis collected by the sensor when the action is in progress, a 1x50 Indicates the 50th hand acceleration along the X axis collected by the sensor during ...

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Abstract

The present invention provides a personal trainer smart bracelet based on autonomous motion recognition technology, which is a personal trainer smart bracelet that integrates three functions of self-defining standard library, motion recognition and self-correcting standard actions. The device has three modes, which are defined action mode, motion recognition mode and training mode. In the action definition mode, users can independently define standard actions and build a standard library, which is equivalent to having a personal trainer; in the exercise recognition mode, users can use the device to obtain analysis of exercise results, conduct independent learning, and achieve self-improvement; in training mode, in Select the action to be trained on the terminal device and perform the exercise. The bracelet can use the new data of the movement and the data in the standard library to predict more standard actions according to the prediction algorithm, so as to automatically correct the standard action, update the standard library, and follow As the number of training moves increases, the prediction will become more accurate.

Description

technical field [0001] The invention belongs to the technical field of smart wristbands, and relates to a personal trainer smart wristband based on an autonomous motion recognition technology, in particular to a personal trainer smart wristband based on an autonomous motion recognition technology with a self-built standard library and an autonomously updated standard library, specifically It involves a personal trainer smart bracelet based on autonomous motion recognition technology that integrates three functions of self-defining standard library, motion recognition and self-correcting standard actions. Background technique [0002] With the improvement of living standards, people pay more and more attention to health, and various smart bracelets have emerged as the times require. Especially now that the wave of fitness is booming, the smart bracelet market has become more concerned than before. [0003] The function of the smart bracelet is relatively simple, mainly design...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01A61B5/11
Inventor 丁永生赵羽迪李峰杨诗宇赵晨暐
Owner DONGHUA UNIV
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