Self-adjustment method and device for virtual rehabilitation game based on leap Motion gesture recognition

A gesture recognition and virtual rehabilitation technology, applied in the input/output process of indoor games, video games, data processing, etc., can solve problems such as lack of challenge, loss of enthusiasm for games, and boredom of patients

Active Publication Date: 2022-01-04
XIAN JIAOTONG UNIV CITY COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] If the difficulty is too low, patients will feel bored and unchallenged, thus losing enthusiasm for the game

Method used

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  • Self-adjustment method and device for virtual rehabilitation game based on leap Motion gesture recognition
  • Self-adjustment method and device for virtual rehabilitation game based on leap Motion gesture recognition
  • Self-adjustment method and device for virtual rehabilitation game based on leap Motion gesture recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] A self-adjustment method of a virtual rehabilitation game based on Leap Motion gesture recognition, comprising:

[0057] Such as figure 1 Shown:

[0058] 1) Create a database:

[0059] Such as figure 2 As shown, using Leap Motion to collect image data of the patient's healthy hand, specifically refers to using the Leap Motion-based gesture recognition algorithm to collect the image and convert it into matrix data to establish the corresponding hand of the patient's healthy hand when playing different levels of games. Image data, the purpose of this data establishment is to compare the gestures of the affected side with the gestures of the healthy side under the same game difficulty in the future, and serve as the basic comparison database for automatically adjusting the difficulty of the game in turn;

[0060] Establish a game difficulty level database, divide and record games according to difficulty levels, wherein, the game difficulty level can be classified accor...

Embodiment 2

[0084] A self-adjustment method for a virtual rehabilitation game based on Leap Motion gesture recognition as described in Example 1, the difference is that when setting the conditions for triggering the game difficulty change in the step 1), it also includes setting the The duration threshold of the above-mentioned action gap range.

Embodiment 3

[0086] A self-adjustment method for a virtual rehabilitation game based on Leap Motion gesture recognition as described in Embodiments 1 and 2, the difference is that, in the step 1), it also includes: establishing a game database containing various games, the database The establishment of the game belongs to the existing technology. Those skilled in the art can select a specific game into the library according to the degree of hand participation in the game for the patient to choose during rehabilitation training. Before step 2), the patient chooses the game type according to his preference.

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Abstract

A self-adjustment method of a virtual rehabilitation game based on Leap Motion gesture recognition, comprising: establishing a database, and the affected side hand participates in rehabilitation, and the affected side hand image data and the healthy side hand image data in the healthy side gesture database Comparing the action range in the game time domain; automatically adjust the difficulty of the game according to the game difficulty level data. The invention grades the difficulty of the game, compares the performance of the current game cycle of the patient's affected side with the performance of the healthy side, and refers to the performance records of the patient's healthy and affected side to automatically reduce or increase the game difficulty parameter to avoid fatigue and excessive game difficulty caused by the patient. Too large or too small affects the rehabilitation effect of the rehabilitation game. At the same time, patients can see their game performance in real time, and give patients feedback to encourage their enthusiasm for games, so that patients can always be in a moderately difficult game environment, which is both challenging and fun to complete their rehabilitation training plan. .

Description

technical field [0001] The invention discloses a self-adjustment method and device of a virtual rehabilitation game based on Leap Motion gesture recognition, belonging to the technical field of hand rehabilitation training games. Background technique [0002] The traditional hand function treatment method is one-on-one rehabilitation training between doctors and patients. Since most patients respond slowly and the rehabilitation process takes a long time, there is an imbalance between a small number of rehabilitation doctors and a large number of patients, resulting in high medical costs. It also brings inconvenience to patients and their families and affects the recovery effect. The traditional rehabilitation process relies on doctors, and boring, monotonous, and uninteresting training tends to make patients resist and get bored. It is difficult to guarantee the intensity, accuracy, efficiency, and rationality of training, which causes patients to miss the best training opp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H20/30G06F3/01A63F13/42
CPCG16H20/30G06F3/017A63F13/42A63F2300/8094A63F2300/6045
Inventor 樊琛张晓琪张小栋刘晔黄福华颜远远张均字毛雅洁贾谦
Owner XIAN JIAOTONG UNIV CITY COLLEGE
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