An intelligent auxiliary training system based on real-time capture of eye movement information of athletes

A technology of feature information and training status, applied in the field of data processing, can solve the problems of lack of first-person perspective, difficult to quantify indicators, and no time to respond to actions, so as to achieve rationalization and personalization of training programs, and improve training effects and efficiency. Effect

Inactive Publication Date: 2019-06-25
BEIJING SPORT UNIV
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aspects such as sports awareness and concentration are precisely the most difficult to monitor and quantify. When an athlete’s awareness is difficult to improve, it is also difficult to find the reason
There are three reasons: First, there is a lack of first-person perspective for the athlete. Others do not know the precise perspective of the athlete in the situation at that time, and what information he has input to complete the next series of actions. The coach also stands on his own The second is that it is difficult to quantify some indicators, such as the requirement to check the position of nearby opponent players before preparing to shoot with the ball to determine whether they are offside. How many times did the players perform this check during the training process? After the inspection but did not see the opponent, or saw the opponent but did not have time to react; thirdly, after long-term training, many movements and decisions are made subconsciously. why did that
In the prior art, the sports training cannot be adjusted according to the state of the athlete's consciousness or concentration, so a technology to assist ordinary users or athletes in sports training is needed

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
  • An intelligent auxiliary training system based on real-time capture of eye movement information of athletes
  • An intelligent auxiliary training system based on real-time capture of eye movement information of athletes
  • An intelligent auxiliary training system based on real-time capture of eye movement information of athletes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] figure 1 It is a flow chart of the training method in Embodiment 1 of the present invention. This embodiment is applicable to the situation of implementing sports training. The method can be executed by a training device, which can be implemented by software and / or hardware. The device can Configured in a device, the device can be composed of two or more physical entities, or one physical entity, and the device can be a smart phone, tablet, or computer. like figure 1 As shown, the method may specifically include:

[0044] S110. Obtain training feature information of the user.

[0045] The training feature information may include any information related to the user's eye movement, and the specific type of training feature information is not limited in this embodiment. For example, the training feature information may include information such as the user's eye image, the user's field of view image, and pupil information. .

[0046] Specifically, obtaining the user's t...

Embodiment 2

[0057] figure 2 It is a flowchart of the training method in Embodiment 2 of the present invention. In this embodiment, on the basis of the foregoing embodiments, the foregoing training method is further specified. Correspondingly, such as figure 2 As shown, the method of this embodiment specifically includes:

[0058] S201. Obtain training feature information of the user.

[0059] The training feature information may include any information related to the user's eye movement, and the specific type of training feature information is not limited in this embodiment. For example, the training feature information may include information such as the user's eye image, the user's field of view image, and pupil information. .

[0060] Specifically, obtaining the user's training characteristic information may include: obtaining the user's training characteristic information collected by the eye control device, and the eye control device includes a modified eye movement collection ...

Embodiment 3

[0094] Figure 4 It is a schematic structural diagram of the training device in Embodiment 3 of the present invention, and this embodiment is applicable to the situation of realizing running training. The training device provided by the embodiment of the present invention can execute the training method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The device specifically includes an information acquisition module 310, a status module 320 and a training adjustment module 330, wherein:

[0095] An information acquisition module 310, configured to acquire user training feature information;

[0096] State module 320, is used for determining the training state information of user according to training characteristic information, and training state information comprises gaze information and fatigue information;

[0097] The training adjustment module 330 is configured to determine the...

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 embodiment of the invention discloses an intelligent auxiliary training system based on real-time capture of eye movement information of an athlete. The method comprises the steps of acquiring training feature information of a user; Determining training state information of the user according to the training feature information, wherein the training state information comprises gaze informationand fatigue information; And determining an execution condition of the training scheme of the user according to the training state information, and determining a training scheme adjustment strategy according to the execution condition. According to the embodiment of the invention, the exercise training of the user is adjusted according to the consciousness of the user or the state of the concentration, so that the training scheme of the user is more reasonable and personalized to help to improve the training effect and efficiency.

Description

technical field [0001] The embodiments of the present invention relate to the field of data processing, and in particular to an intelligent auxiliary training system based on real-time capture of athlete's eye movement information. Background technique [0002] Sports involving confrontation (such as taekwondo, fencing), sports of teamwork (such as football) and sports of time judgment (such as curling, horse racing), in addition to strength and physical training, more need super awareness and keen Concentration and judgment. [0003] Aspects such as sports awareness and concentration are precisely the most difficult to monitor and quantify. When an athlete's awareness is difficult to improve, it is also difficult to find the reason. There are three reasons: First, there is a lack of first-person perspective for the athlete. Others do not know the precise perspective of the athlete in the situation at that time, and what information he has input to complete the next series ...

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): G06F3/01G06K9/00
Inventor 包大鹏
Owner BEIJING SPORT UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products