Gesture speed estimating method for three-dimensional interaction interface

A three-dimensional interaction and speed estimation technology, applied in the input/output of user/computer interaction, computer parts, graphics reading, etc., to achieve a good user experience and reduce the effect of running time

Active Publication Date: 2014-11-19
UNIV OF JINAN
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AI Technical Summary

Problems solved by technology

Huang et al. established a motion graph model. Each node in the graph represents a key frame of upper limb motion, and each edge represents a motion sequence. By identifying key frames

Method used

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  • Gesture speed estimating method for three-dimensional interaction interface
  • Gesture speed estimating method for three-dimensional interaction interface
  • Gesture speed estimating method for three-dimensional interaction interface

Examples

Experimental program
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Embodiment Construction

[0015] 1. Build a 3D gesture model

[0016] According to the skeletal structure of the human hand, use X=(x1,x2,...,x26) to describe the gesture posture, where the 6 global degrees of freedom x1,x2,...,x6 represent the coordinate position and direction of the center point of the palm in the world coordinate system , 20 local degrees of freedom x7,x8,...,x26 represent the angles between the joints of the thumb, index finger, middle finger, ring finger, and little finger and the palm plane and the angles between adjacent knuckles. For each finger, the metacarpal knuckles have 2 degrees of freedom, 1 degree of freedom each for the proximal and distal knuckles. This model makes full use of the unique physiological structure and motion constraints of the human hand, and uses OpenGL to draw the 3D model of the virtual human hand. The knuckles are represented by cylinders, the joints are represented by balls, and the palm is approximated by a rectangle.

[0017] 2. Build a 3D virt...

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Abstract

The invention discloses a gesture speed estimating method for a three-dimensional interaction interface. The method includes: in order to reflect different speeds, using a data glove to determine the basic relationship between gesture speed and gesture image change; building speed estimation models in a graded manner according to the relationship; estimating hand moving parameters according to gesture images to obtain real-time hand moving seed, and allowing the gesture speed to be consistent with the hand moving speed. The method has the advantages that compared with a gesture tracking algorithm based on behavior models, average operation time is lowered by 26%; the total error of the tracking precision as compared with the data glove at different moving speeds is 10%; the model is already applied to the three-dimensional interaction interface, and testing of a prototype system shows that the model is good in user experience.

Description

technical field [0001] The invention relates to a gesture speed estimation method oriented to a three-dimensional interactive interface. Background technique [0002] Sports style is the manifestation of comprehensive factors such as personal habits, life background and subjective emotions, and reflects the high-level attributes of sports. Whether different operators perform the same exercise or the same operator repeats the same exercise, each movement style will be different. In order to generate natural, realistic and style-controllable movements, researchers use various methods to represent different movement styles. Liu et al. defined style as several physical parameters, and realized style transformation through inverse nonlinear optimization. Brand et al established an inverse kinematics algorithm with a learning mechanism to learn the motion model and generate different styles of human motion. Hsu et al. utilize a linear time-invariant model to achieve style trans...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 冯志全黄忠柱
Owner UNIV OF JINAN
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