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

Modeling and predicting method for simulating tactile sensation through electrical nerve stimulation

A prediction method and neuroelectric technology, which can be applied in neural learning methods, biological neural network models, mechanical mode conversion, etc., can solve the problem of lack of related methods and equipment for simulating touch with neural electrical stimulation methods, and achieve good application prospects.

Pending Publication Date: 2021-06-15
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The use of electrical nerve stimulation to simulate touch is an emerging topic in the field of scientific research. Existing research is mainly to obtain and analyze the subjective feelings of subjects after receiving electrical nerve stimulation from the perspective of qualitative analysis. A related method and device, and a method for modeling and predicting input and output information of neural electrical stimulation simulating tactile sensation by using related data sets

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
  • Modeling and predicting method for simulating tactile sensation through electrical nerve stimulation
  • Modeling and predicting method for simulating tactile sensation through electrical nerve stimulation
  • Modeling and predicting method for simulating tactile sensation through electrical nerve stimulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The embodiments of the present invention will be described in detail below. It should be emphasized that the following description is merely exemplary, not to limit the scope of the invention and its application.

[0033] It should be noted that when the element is referred to as "fixed to" or "set to" another element, it can be directly on the other element or indirectly on the other element. When one element is called "connected to" another element, it can be directly connected to another element or indirectly connected to the other element. Additionally, the connection can be either used in a fixed action or can be used for coupling or communication.

[0034] It is to be understood that the term "length", "width", "upper", "lower", "front", "post", "right", "vertical", "level", "top" The orientation or position relationship of "bottom" "inside", "outside", etc. is based on the orientation or positional relationship shown in the drawings, is merely described in the embodi...

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

A modeling and predicting method for simulating tactile sensation through electrical nerve stimulation comprises the following steps: S1, applying electrical nerve stimulation pulse signals to arms and / or hands of a subject to measure the magnitude of force, generated by electrical nerve stimulation, of muscles of the subject; S2, performing analysis and processing according to a related data set of the multiple paths of nerve electrical stimulation pulse signals and the measured force magnitude, and performing correlation model modeling on the input and output information of the nerve electrical stimulation simulation tactile sense by using the related data set so as to predict the nerve electrical stimulation simulation tactile sense through the established model, wherein the modeling of the correlation model comprises the step of establishing a tactile simulation generation strategy through a Q-Learning algorithm or Deep Q-Learning. According to the invention, a model of related factors about nerve electrical stimulation simulation tactile sensation can be effectively established.

Description

Technical field [0001] The present invention relates to modeling and prediction methods of neuroelectric stimulation simulation haptic. Background technique [0002] Using neuroelectric stimulation method simulation tactile is an emerging topic in the field of scientific research, and existing research is mainly from qualitative analysis angles to obtain subjective feelings after receiving neuroelectric stimulation, lacking a nerve stimulation method simulation Related methods and equipment, and methods of modeling and predicting the input and output information of neuroelectric stimulation simulation tactile using related data sets. How to effectively collect and analyze large-scale neuroelectric stimulation methods to simulate the data set of tactile experiments, and is the problem of existing technologies to be solved. [0003] It should be noted that information disclosed in the above background technology is only used to understand the background of the present application, ...

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): G06F3/01G06F30/27G06N3/08
CPCG06F3/016G06F30/27G06N3/084Y02T90/00
Inventor 李鑫姜伟峰王智
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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