Open AccessAn improved gesture recognition algorithm for human-robot collaboration
Author(s) -
Yiqun Liu,
Xiaogang Wang,
Yang He,
Hua Mu,
Yuewei Bai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012199
Subject(s) - computer science , robustness (evolution) , gesture , robot , artificial intelligence , gesture recognition , computer vision , key (lock) , position (finance) , mobile robot , algorithm , biochemistry , chemistry , computer security , finance , economics , gene
In this paper, an improved gesture recognition algorithm framework based on the improved SSD algorithm and OpenPose model for solving the robot’s mobile grasping problem in human-robot environment is proposed. Improved SSD algorithm by optimizing the front network of SSD algorithm and adjusting the prediction box is designed to identify the position of the hand rapidly, and to reduce the time for the training model. Testing experiments are perfomed for recognizing the hand’s key points information and eight designed gestures are compared with the traditional algorithm. The results show that the method can greatly improve the recognition distance of the original model under the dense environment, and also enhance the robustness and accuracy of the model, and have improved the ability of long-distance human-robot collaboration to a certain extent.