Motion capture glove for gesture recognition and calibration method thereof

A technology of motion capture and gesture recognition, which is applied in the field of human-computer interaction, can solve the problem of inconvenient replacement of the attitude reference system, and achieve the effect of avoiding the problem of unstable calculation, eliminating the error of the attitude quaternion, and facilitating the replacement

Active Publication Date: 2017-02-22
武汉元生创新科技有限公司
View PDF7 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this scheme, the attitude reference system is still implemented by mounting a single gyroscope, accelerometer, and magnetic sensor on the circuit

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
  • Motion capture glove for gesture recognition and calibration method thereof
  • Motion capture glove for gesture recognition and calibration method thereof
  • Motion capture glove for gesture recognition and calibration method thereof

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but 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 conflict with each other.

[0030] In view of the above problems of the prior art, the present invention designs a motion capture glove for gesture recognition. The glove uses a mountable snap socket type attitude sensing system installation structure. When a certain attitude sensing system appears When there is a problem, you can directly replace the attitude sensing system module without involving the connecting wires between ...

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 technical field of human machine interaction, and discloses a motion capture glove for gesture recognition. Finger parts at the two ends of each joint of a glove body are each provided with an attitude sensing module. Each attitude sensing module at least integrates a three-axis MEMS gyroscope, a three-axis MEMS accelerometer, a three-axis magnetic sensor and a sensing microprocessor; each attitude sensing module is connected with the glove body through a special pin chip packaging socket, the special pin chip packaging sockets are attached to a flat cable arranged inside the glove body, and the attitude sensing modules are connected with a concentrator through the flat cable. According to the motion capture glove, the hardware scheme of the attitude sensing modules convenient to replace is adopted, when an attitude detection result is wrong due to the fact that a certain attitude sensing module fails, a user can conveniently replace the failure attitude sensing module, and due to the fact that no complex operation such as welding is needed, the maintenance difficulty and maintenance cost of the motion glove are lowered. The invention further provides a corresponding calibration method.

Description

technical field [0001] The invention belongs to the field of human-computer interaction technology, and more specifically relates to a motion capture glove for gesture recognition and a calibration method thereof. Background technique [0002] Gestures are an important way of interaction when people interact with the outside world. People use gestures to express thoughts, perceive the objective world and complete various operations. With the rapid development of virtual reality technology, the use of motion capture equipment to collect human gesture information can greatly enrich the design content of virtual reality, increase the playability of content, improve the efficiency of human-computer interaction, and broaden the application range of virtual reality systems . [0003] The data glove is a very important input device for hand motion capture in the current virtual reality system. It can track and measure the wearer's flexible gestures and posture changes, transmit t...

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): G06F3/01
CPCG06F3/014G06F3/017G06F2203/012
Inventor 张生志刘超军罗璋余帅
Owner 武汉元生创新科技有限公司
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