Patents by Inventor GAN GAO

GAN GAO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Hand trajectory recognition method for following robot based on hand velocity and trajectory distribution
    Patent number: 11847803
    Abstract: A hand trajectory recognition method for a following robot based on hand velocity and trajectory distribution comprises: sampling and photographing an operator by a kinect camera to obtain hand projection plane data; smoothing the hand projection plane data by moving average, establishing velocity vectors, and processing the velocity vectors to obtain a hand movement descriptor; establishing a hand movement area, traversing hand three-dimensional positions of all frames in an order of sampling and photographing, assigning a mesh where the hand three-dimensional position of each frame is located, and calculating centroid positions of all assigned meshes; establishing centroid directing vectors, and processing the centroid directing vectors to obtain a hand trajectory shape descriptor; and processing cosine values of two angles to obtain a common similarity of the movement descriptor and the trajectory shape descriptor to standard descriptors, and using a standard gesture with a maximum common similarity as a r
    Type: Grant
    Filed: December 27, 2019
    Date of Patent: December 19, 2023
    Assignee: ZHEJIANG UNIVERSITY
    Inventors: Xinyue Zhao, Gan Gao, Zaixing He, Bolun Zhang, Shuyou Zhang, Jianrong Tan
  • HAND TRAJECTORY RECOGNITION METHOD FOR FOLLOWING ROBOT BASED ON HAND VELOCITY AND TRAJECTORY DISTRIBUTION
    Publication number: 20220083770
    Abstract: A hand trajectory recognition method for a following robot based on hand velocity and trajectory distribution comprises: sampling and photographing an operator by a kinect camera to obtain hand projection plane data; smoothing the hand projection plane data by moving average, establishing velocity vectors, and processing the velocity vectors to obtain a hand movement descriptor; establishing a hand movement area, traversing hand three-dimensional positions of all frames in an order of sampling and photographing, assigning a mesh where the hand three-dimensional position of each frame is located, and calculating centroid positions of all assigned meshes; establishing centroid directing vectors, and processing the centroid directing vectors to obtain a hand trajectory shape descriptor; and processing cosine values of two angles to obtain a common similarity of the movement descriptor and the trajectory shape descriptor to standard descriptors, and using a standard gesture with a maximum common similarity as a r
    Type: Application
    Filed: December 27, 2019
    Publication date: March 17, 2022
    Inventors: XINYUE ZHAO, GAN GAO, ZAIXING HE, BOLUN ZHANG, SHUYOU ZHANG, JIANRONG TAN