Hand rehabilitation training method based on Leap Motion controller

A rehabilitation training and controller technology, applied in gymnastics equipment, neural learning methods, instruments, etc., can solve the problems of hand rehabilitation of stroke patients without help, achieve the goals of improving training enthusiasm, ensuring the quality of rehabilitation training, and reducing rehabilitation costs Effect

Inactive Publication Date: 2017-12-19
TSINGHUA UNIV
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is only suitable for the recovery of the range of motion of the shoulder, elbow, and wrist joints of the upper limbs

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
  • Hand rehabilitation training method based on Leap Motion controller
  • Hand rehabilitation training method based on Leap Motion controller
  • Hand rehabilitation training method based on Leap Motion controller

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1: In this embodiment, static motion and dynamic motion are used to complete the evaluation of the patient's motion.

[0023] The hand rehabilitation training method of the present embodiment comprises the following steps:

[0024] Step A, input standard hand movement data into the host computer 1 through the Leap Motion somatosensory controller 2 and the supporting Unity 3D software. In this step, the Leap Motion somatosensory controller 2 sends frame data to the host computer 1 at a rate of 60 frames per second, and each frame of frame data includes hand entity data and finger entity data. Standard feature data can be extracted from standard hand motion data.

[0025] Step B, the patient completes the rehabilitation training action according to the standard hand movement played by the display 3, and the Leap Motion somatosensory controller 2 acquires the data of the patient's hand movement in real time and transmits it to the computer host 1 during the pat...

Embodiment 2

[0041] Embodiment 2: Using the method of Embodiment 1, when the patient's training action slightly lags behind the standard action, a lower score may be given. In this embodiment, hand data processing based on machine learning is used to reduce the effect of training action lag and provide accurate evaluation results.

[0042] See attached Image 6 , the hand rehabilitation training method of the present embodiment comprises the following steps:

[0043] Step A, input standard hand movement data into the host computer 1 through the Leap Motion somatosensory controller 2 and the supporting Unity 3D software. In this step, the Leap Motion somatosensory controller 2 sends frame data to the host computer 1 at a rate of 60 frames per second, and each frame of frame data includes hand entity data and finger entity data. Standard feature data can be extracted from standard hand motion data.

[0044] Step B, the patient completes the rehabilitation training action according to 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 invention discloses a hand rehabilitation training method based on a Leap Motion controller. The hand rehabilitation training method comprises the following steps of A, standard hand motion data is typed into a computer host; B, a patient completes rehabilitation training motions according to standard hand motions played by a display, and data of the hand motions of the patient is obtained in real time and is transmitted to the computer host in the process that the patient completes the rehabilitation training motions; C, the acquired data of the hand motions of the patient is processed, the effective data in the data of the head motions is extracted, and then training characteristic data is obtained through extraction; D, the motions completed by the patient are evaluated. Through the combination of a virtual reality technology and a leap motion interaction technology, the hand motions of the patient are displayed in real time, the patient can see his/her own training process in a virtual reality environment, the training enthusiasm of the patient is improved, traditional passive training is turned into active training, the recovery training effect is improved, and the rehabilitation cost of the patient is lowered at the same time.

Description

technical field [0001] The invention relates to the fields of patient rehabilitation equipment and information intelligent processing, in particular to a hand exercise rehabilitation training method based on a Leap Motion somatosensory controller suitable for the rehabilitation of stroke patients. Background technique [0002] Stroke, also known as "stroke" or "cerebrovascular accident", is an acute cerebrovascular disease. It is usually caused by the compression or burst of part of the blood vessels (mainly arteries) supplying blood to the brain. Within minutes, the nerve cells in this area will be affected or even die within hours, which will directly lead to the damage caused by the disease. Parts of the body controlled by brain regions do not function properly. The life of stroke patients will be greatly affected after the illness, mainly reflected in the appearance of hand weakness, hemiplegia and other symptoms, the patients cannot complete part of the necessary activ...

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
IPC IPC(8): G06F19/00G06F3/01G06N3/08A63B23/16A63B24/00
CPCG06F3/014A63B23/16A63B24/0006A63B2024/0012A63B2220/80G06N3/084
Inventor 张林宣姚荣龙腾
Owner TSINGHUA 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap