Extracting of Five Characteristic Parameters Using in Static Gesture Recognition

2013 ◽  
Vol 380-384 ◽  
pp. 3738-3741
Author(s):  
Hong Duan ◽  
Yang Luo
Keyword(s):  
Environmental Change ◽  
Gesture Recognition ◽  
Template Matching ◽  
Feature Vector ◽  
Characteristic Parameters ◽  
Recognition Method ◽  
Matching Method ◽  
Static Gesture Recognition ◽  
Length And Area ◽  
The Impact

Proposed a static gesture recognition method for identifying characteristics of the object in combination. With the feature vector composed of five features, such as the number of fingers, gesture outline convex defect characteristics, the length and area of contour and Hu matrix, we adopted the template-matching method to conduct the matching of featured parameters. Experiments show that the method successfully recognized static gestures under complex background and could reduce the impact of environmental change simultaneously.

In-home neurogaming: Demonstrating the impact of valid gesture recognition method on high volume kinematic outcomes

2020 ◽  
Vol 104 ◽  
pp. 109726
Author(s):  
Lise C. Worthen-Chaudhari ◽  
Michael P. McNally ◽  
Akshay Deshpande ◽  
Vivek Bakaraju
Keyword(s):  
Gesture Recognition ◽  
High Volume ◽  
Recognition Method ◽  
The Impact

Research of an Improved Snail Image Recognition Method Based on Grayscale Template Matching

2013 ◽  
Vol 433-435 ◽  
pp. 700-704
Author(s):  
Yin E Zhang
Keyword(s):  
Template Matching ◽  
Source Image ◽  
Complex Environment ◽  
Recognition Method ◽  
Matching Method ◽  
Matching Accuracy ◽  
Matching Algorithm ◽  
Template Image ◽  
Traditional Algorithm ◽  
Template Selection

As the lack in the accuracy and speed of the template matching algorithm for the snail image in the complex environment, the snail source image and the template image have the appropriate scaling in order to improve their sizes in the traditional algorithm. The new algorithm avoids the very big and accurate characteristics about the snail images through shrinking the source images down. The grayscale template matching method is put forward based on the traditional template selection set to prevent that the error caused by human factors on the selected template, the redundancy between the templates is removed in a large extent, further the accuracy of the matching is improved, and the matching time is reduced greatly in the case of matching accuracy guarantee.

Group delay based location template matching method for the identification of the impact location on a plate

2013 ◽  
Vol 332 (8) ◽  
pp. 2111-2117 ◽  
Author(s):  
Kihong Shin ◽  
Hongjun Yang ◽  
Sang-Kwon Lee ◽  
Young-Sup Lee
Keyword(s):  
Template Matching ◽  
Group Delay ◽  
Matching Method ◽  
Impact Location ◽  
The Impact

Gesture recognition and information recommendation based on machine learning and virtual reality in distance education

2020 ◽  
pp. 1-11
Author(s):  
Wan Juan
Keyword(s):  
Distance Education ◽  
Gesture Recognition ◽  
Control Experiment ◽  
Recognition Method ◽  
Large Space ◽  
Static Gesture Recognition ◽  
Information Recommendation ◽  
Classroom Education ◽  
Study Designs ◽  
Dynamic Gesture Recognition

The dynamic and static gesture recognition in the distance education application scenario is not mature enough in theory at present, and still has a large space for development, and the application of gesture recognition in education is relatively insufficient. The purpose of this article is to combine gesture recognition with teacher classroom education and introduce a dynamic gesture recognition method. Moreover, this study introduces the data collection and preprocessing in detail and converts the data of the gesture action area into gray value images, and then uses the improved algorithm to perform classification. In addition, this study designs a control experiment to analyze the performance of the algorithm in this study and compares the accuracy of algorithm recognition from the perspective of simple background and complex background. The research results show that teaching gesture recognition in distance education can effectively improve education efficiency, with high accuracy, and can be directly applied to the system.

Feature Fusion Based Hand Gesture Recognition Method for Automotive Interfaces

2020 ◽  
Vol 29 (6) ◽  
pp. 1153-1164
Author(s):  
Qianyi Xu ◽  
Guihe Qin ◽  
Minghui Sun ◽  
Jie Yan ◽  
Huiming Jiang ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Feature Fusion ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Recognition Method
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