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

System and method for capturing hand movement function based on data glove and position tracker

A data glove and motion function technology, which is applied in the field of human motion function capture system, can solve problems such as difficulty in calibration of grasping posture data, difficulty in capturing human motion function, etc., and achieve the effect of improving accuracy and efficiency

Active Publication Date: 2016-03-30
HARBIN INST OF TECH
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve the problem of difficulty in capturing human motion functions and the difficulty in calibrating the data of human grasping postures recorded by existing data gloves, and now provides a system and method for capturing human motion functions based on data gloves and position trackers

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
  • System and method for capturing hand movement function based on data glove and position tracker
  • System and method for capturing hand movement function based on data glove and position tracker

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0044] Specific embodiment one: reference figure 1 with 2 Specific description of this embodiment, the human hand motion function capture system based on data gloves and position tracker described in this embodiment includes the following units:

[0045] Data glove sensor initial value recording unit: collects and records the initial value of each sensor in the data glove, and sends the initial value to the data glove sensor calibration unit. The initial value is the data glove calibration experiment The angle value of each joint under the paradigm;

[0046] Data glove sensor calibration unit: use the initial value and the given value of the actual angle to establish the mapping model and model parameters between the actual angle and the initial value, and send the mapping model and model parameters to the sensor actual value obtaining unit after calibration. The actual angle given value is preset;

[0047] Data glove sensor grasping posture acquisition unit: collect and record the ...

specific Embodiment approach 2

[0065] Embodiment 2: This embodiment further explains the human hand movement function capture system based on data gloves and position tracker described in Embodiment 1. In this embodiment, all units are embedded in the PC, and the data glove And the position tracker sends the collected signal to the PC through the serial port.

[0066] In practical application, the data glove is used to collect the angle value of the finger joints when the human hand grasps the posture. The finger joint angle signal output terminal of each sensor in the data glove is connected to the finger joint angle signal input terminal of the PC; the position tracker is used to collect The position and posture information of the human hand wrist, the position and posture signal output terminal of the human hand wrist of the position tracker is connected to the position and posture signal input terminal of the human hand wrist of the PC.

[0067] The PC is used as the system hardware platform. After the manua...

specific Embodiment approach 3

[0068] Embodiment 3: This embodiment further explains the human hand motion function capture system based on data gloves and position tracker described in Embodiment 1. In this embodiment, the actual value of the sensor and the wrist position after calibration in the storage unit The posture data are stored in the text file in turn.

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 relates to a system and method for capturing a hand movement function based on a data glove and a position tracker, relates to the field of hand movement function capturing systems, and aims to solve the problems that the hand movement function is difficult to capture and the existing data glove is difficult to record hand grasping posture data scaling. According to the system and method for capturing the hand movement function based on the data glove and the position tracker disclosed by the invention, hand joint flexion-extension angle information is acquired through the data glove; scaling of the data glove is completed rapidly and accurately through 8-posture data glove scaling experimental paradigms; according to hand movement function experimental requirements, multiple grasping postures of many people for many times can be effectively recorded in combination with wrist position posture data of the position tracker; therefore, the hand movement function capturing accuracy and efficiency are greatly increased; and the system and the method are applied to capturing hand postures.

Description

Technical field [0001] The invention belongs to the technical field of human hand movement function capturing systems, and particularly relates to a human hand movement function capturing system and method based on a data glove and a position tracker. Background technique [0002] The human hand is one of the most dexterous parts of the human body. It has more than 20 degrees of freedom. Realizing the stable grasping function and dexterous operation function of the human hand has always been the focus and difficulty of the research in the field of artificial artificial hands and dexterous hands. In terms of dexterous hand design, the most basic problem is to collect grasping postures that can reflect the grasping ability of the human hand, in order to reproduce the anthropomorphic grasping posture from the configuration and control, so as to finally achieve the goal of human-like grasping. For the field of rehabilitation, capturing the characteristics of joint angle changes durin...

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
CPCG06F3/014
Inventor 姜力刘源杨大鹏樊绍巍程明杨斌刘宏
Owner HARBIN INST OF TECH
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