Large-area grid type epidermal electronic system for closed-loop man-machine interaction

A human-computer interaction, electronic system technology, applied in the input/output of user/computer interaction, mechanical mode conversion, computer parts and other directions, can solve problems such as complex algorithms, mismatched skin mechanical properties, and difficulty in achieving precise grasping. , to achieve high precision

Active Publication Date: 2017-08-04
HUAZHONG UNIV OF SCI & TECH
View PDF8 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are a large number of muscles that control gestures, with different shapes and sizes, and superimposed on each other. At the same time, weak myoelectric signals spread in a diffuse manner in the arm, which poses a huge challenge to how to accurately and real-time extract gestures.
[0003] The current human-computer interaction system based on electromyographic signals has the following disadvantages: 1) only collects the electromyographic signals at the arm, and ignores the electromyographic signals at the palm (human forearm surface electromyographic signal acquisition and pattern recognition system, CN102426651B); Electrodes use conductive gel electrodes or other hard electrodes, which do not match the mechanical properties of the skin, have limited coverage, low spatial resolution, are prone to crosstalk, and are not convenient to carry (a wearable human-computer interaction gesture recognition Control device, CN106055114A); 3) adopt open-loop control, it is difficult to realize accurate grasping (myoelectric signal acquisition system, CN204683598U); 4) adopt pattern recognition control, algorithm is complicated, the gesture of recognition is limited (myoelectric signal pattern recognition method, CN105139038A; and a myoelectric signal gesture recognition method based on deep learning and feature images, CN105654037A)

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
  • Large-area grid type epidermal electronic system for closed-loop man-machine interaction
  • Large-area grid type epidermal electronic system for closed-loop man-machine interaction
  • Large-area grid type epidermal electronic system for closed-loop man-machine interaction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0036] refer to Figure 1 to Figure 8 , a large-area grid-type epidermal electronic system for closed-loop human-computer interaction, including an epidermal myoelectric electrode array 2, a joint rotation angle sensor array 3, an electric tactile sensor array 4, a connection structure 5, and a circuit compensation structure 6, wherein,

[0037] The epidermal myoelectric electrode array 2 is us...

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 belongs to the field of epidermal electronics, and discloses a large-area grid type epidermal electronic system for closed-loop man-machine interaction. The large-area grid type epidermal electronic system comprises epidermal myoelectricity electrode arrays, a joint rotation angle sensor array, an electric touch sensation sensor array, connecting structures and a circuit compensation structure, wherein the epidermal myoelectricity electrode arrays are used for collecting myoelectricity signals of the internal muscles and the external muscles of all fingers and the muscles of a wrist; the joint rotation angle sensor array is used for collecting the rotation angles of finger joints and the wrist; the electric touch sensation sensor array is used for stimulating fingertips through an electric current and a voltage; the circuit compensation structure is used for eliminating excess myoelectricity signals introduced by each epidermal myoelectricity electrode connecting structure, so that the accuracy of obtained signals of man-machine interaction equipment is guaranteed. Each sensor of the system is very light, thin and small, has stretchability and conforms with the mechanical property of skin, and at the same time, the problem that heat dissipation and perspiration can not normally proceed due to large-area covering is solved.

Description

technical field [0001] The invention belongs to the field of skin electronics, and more specifically relates to a large-area grid type skin electronics system for closed-loop human-computer interaction. Background technique [0002] Human-computer interaction systems have broad application prospects in deep sea navigation, deep space exploration, medical surgery, and industrial production. Human gestures are rich and diverse, which can realize the flexible grasping of many objects. Myoelectric signals were first used in the field of control in 1945, and then many researchers invested in it, expecting to realize human-computer interaction through human gestures. However, there are a large number of muscles that control gestures, with different shapes and sizes, and superimposed on each other. At the same time, weak myoelectric signals spread in the form of diffusion in the arm, which poses a huge challenge to how to accurately and real-time extract gestures. [0003] The cu...

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): G06F3/01
CPCG06F3/014G06F3/015G06F3/016G06F2203/011
Inventor 黄永安王攸华尹锋尹周平
Owner HUAZHONG UNIV OF SCI & TECH
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