scholarly journals A Hand Gesture Recognition Method Based on Multi-Feature Fusion and Template Matching

2012 ◽  
Vol 29 ◽  
pp. 1678-1684 ◽  
Author(s):  
Liu Yun ◽  
Zhang Lifeng ◽  
Zhang Shujun
Keyword(s):  
Gesture Recognition ◽  
Template Matching ◽  
Feature Fusion ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Recognition Method

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

Feature fusion for 3D hand gesture recognition by learning a shared hidden space

2012 ◽  
Vol 33 (4) ◽  
pp. 476-484 ◽  
Author(s):  
Jun Cheng ◽  
Can Xie ◽  
Wei Bian ◽  
Dacheng Tao
Keyword(s):  
Gesture Recognition ◽  
Feature Fusion ◽  
Hand Gesture Recognition ◽  
Hand Gesture

Hand Gesture Recognition using Deep Feature Fusion Network based on Wearable Sensors

2020 ◽  
pp. 1-1
Author(s):  
Guan Yuan ◽  
Xiao Liu ◽  
Qiuyan Yan ◽  
Shaojie Qiao ◽  
Zhixiao Wang ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Feature Fusion ◽  
Wearable Sensors ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Deep Feature

scholarly journals Hand Gesture Recognition Using PCA, KNN and SVM

2019 ◽  
pp. 547-550
Author(s):  
Julakanti Likhitha Reddy ◽  
Bhavya Mallela ◽  
Lakshmi Lavanya Bannaravuri ◽  
Kotha Mohan Krishna
Keyword(s):  
Gesture Recognition ◽  
Skin Color ◽  
Template Matching ◽  
Hand Gesture Recognition ◽  
Support Vector ◽  
Hand Gesture ◽  
Color Model ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Skin Color Model

To interact with world using expressions or body movements is comparatively effective than just speaking. Gesture recognition can be a better way to convey meaningful information. Communication through gestures has been widely used by humans to express their thoughts and feelings. Gestures can be performed with any body part like head, face, hands and arms but most predominantly hand is use to perform gestures, Hand Gesture Recognition have been widely accepted for numerous applications such as human computer interactions, robotics, sign language recognition, etc. This paper focuses on bare hand gesture recognition system by proposing a scheme using a database-driven hand gesture recognition based upon skin color model approach and thresholding approach along with an effective template matching with can be effectively used for human robotics applications and similar other applications .Initially, hand region is segmented by applying skin color model in YCbCr color space. Y represents the luminance and Cb and Cr represents chrominance. In the next stage Otsu thresholding is applied to separate foreground and background. Finally, template based matching technique is developed using Principal Component Analysis (PCA), k-nearest neighbour (KNN) and Support Vector Machine (SVM) for recognition. KNN is used for statistical estimation and pattern recognition. SVM can be used for classification or regression problems.

scholarly journals A Decision Tree based Real-time Hand Gesture Recognition Method using Kinect

2013 ◽  
Vol 16 (12) ◽  
pp. 1393-1402 ◽  
Author(s):  
Guochao Chang ◽  
Jaewan Park ◽  
Chimin Oh ◽  
Chilwoo Lee
Keyword(s):  
Decision Tree ◽  
Real Time ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Recognition Method
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