Patents by Inventor Jianxi Zhang

Jianxi Zhang 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).

  • Patent number: 12059208
    Abstract: A robot-assisted hand-eye coordination training system based on a smooth pursuit eye movement and a guidance force field includes a virtual interactive scene module, a smooth pursuit eye movement detection module, a robot-assisted interception module and an impact force rendering module. The virtual interactive scene module can generate a virtual interactive scene having a virtual moving object and a virtual handle agent. The smooth pursuit eye movement detection module collects an eye movement signal of a user when the user performs pursuit eye movements on the virtual moving object to detect a smooth pursuit eye movement event. The robot-assisted interception module estimates a movement direction of the virtual moving object, generates an interception and guidance force field, and therefore generates assisting force to assist the user in interception. The impact force rendering module generates impact force according to an impact force computation model after collision is detected.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: August 13, 2024
    Assignee: SOUTHEAST UNIVERSITY
    Inventors: Hong Zeng, Xiao Li, Qingqing Chen, Jianxi Zhang, Aiguo Song
  • Patent number: 12057224
    Abstract: An adaptive control method and system for an upper limb rehabilitation robot based on a game theory and surface Electromyography (sEMG) is disclosed. A movement trajectory that a robot is controlled to run within a training time is designed during subject operation. An sEMG-based Back Propagation Neural Network (BPNN) muscle force estimation model establishes a nonlinear dynamic relationship between an sEMG signal and end force by constructing a three-layer neural network. A human-computer interaction system is analyzed by the game theory principle, and a role of the robot is deduced. The control rate between the robot and a subject is updated by Nash equilibrium, and adaptive weight factors of the robot and the subject are determined. The robot adaptively adjusts the training mode thereof according to a movement intention of the subject during operation and a weight coefficient obtained by the game theory principle.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: August 6, 2024
    Assignee: SOUTHEAST UNIVERSITY
    Inventors: Hong Zeng, Qingqing Chen, Xiao Li, Yinxin Duan, Jianxi Zhang, Aiguo Song
  • Publication number: 20240206728
    Abstract: A robot-assisted hand-eye coordination training system based on a smooth pursuit eye movement and a guidance force field includes a virtual interactive scene module, a smooth pursuit eye movement detection module, a robot-assisted interception module and an impact force rendering module. The virtual interactive scene module can generate a virtual interactive scene having a virtual moving object and a virtual handle agent. The smooth pursuit eye movement detection module collects an eye movement signal of a user when the user performs pursuit eye movements on the virtual moving object to detect a smooth pursuit eye movement event. The robot-assisted interception module estimates a movement direction of the virtual moving object, generates an interception and guidance force field, and therefore generates assisting force to assist the user in interception. The impact force rendering module generates impact force according to an impact force computation model after collision is detected.
    Type: Application
    Filed: June 28, 2022
    Publication date: June 27, 2024
    Applicant: SOUTHEAST UNIVERSITY
    Inventors: Hong ZENG, Xiao LI, Qingqing CHEN, Jianxi ZHANG, Aiguo SONG
  • Publication number: 20240096483
    Abstract: An adaptive control method and system for an upper limb rehabilitation robot based on a game theory and surface Electromyography (sEMG) is disclosed. A movement trajectory that a robot is controlled to run within a training time is designed during subject operation. An sEMG-based Back Propagation Neural Network (BPNN) muscle force estimation model establishes a nonlinear dynamic relationship between an sEMG signal and end force by constructing a three-layer neural network. A human-computer interaction system is analyzed by the game theory principle, and a role of the robot is deduced. The control rate between the robot and a subject is updated by Nash equilibrium, and adaptive weight factors of the robot and the subject are determined. The robot adaptively adjusts the training mode thereof according to a movement intention of the subject during operation and a weight coefficient obtained by the game theory principle.
    Type: Application
    Filed: July 25, 2022
    Publication date: March 21, 2024
    Applicant: SOUTHEAST UNIVERSITY
    Inventors: Hong ZENG, Qingqing CHEN, Xiao LI, Yinxin DUAN, Jianxi ZHANG, Aiguo SONG
  • Publication number: 20240033899
    Abstract: An auxiliary support method based on variable stiffness supernumerary robotic limbs includes: obtaining data from a surface electromyography sensor and an inertial sensor; processing the data from the inertial sensor to determine whether a wearer has an operation intention; preprocessing the data from the surface electromyography sensor through full-wave rectification, low-pass filtering and normalization; using preprocessed surface electromyography to estimate a reference stiffness of an arm of the wearer; and mapping the reference stiffness of the arm to an impedance control model of the supernumerary robotic limbs. In the method, man-machine cooperation between human and the supernumerary robotic limbs in a task of overhead support is achieved by coordinating a stiffness of the human arm and a stiffness of the supernumerary robotic limbs, thereby reducing input of personnel in the task; and when the stiffness of the arm of the wearer decreases, the stiffness of the supernumerary robotic limbs increases.
    Type: Application
    Filed: July 25, 2022
    Publication date: February 1, 2024
    Applicant: SOUTHEAST UNIVERSITY
    Inventors: Hong ZENG, Huayu ZHANG, Jianxi ZHANG, Aiguo SONG
  • Patent number: 9206134
    Abstract: The present invention relates to the polymorphic forms of the compound of Formula (I), preparation thereof including the preparation of intermediates and pharmaceutical compositions, and use of a polymorph above in the treatment of a disease, a disorder or a condition, or in the manufacturing of a medicament for the treatment of a disease, a disorder or a condition.
    Type: Grant
    Filed: July 23, 2012
    Date of Patent: December 8, 2015
    Assignee: BEIJING BETTA PHARMACEUTICALS CO. LTD.
    Inventors: Xinshan Kang, Wei Long, Jianxi Zhang, Yunyan Hu, Yinxiang Wang
  • Publication number: 20150031721
    Abstract: The present invention relates to the polymorphic forms of the compound of Formula (I), preparation thereof including the preparation of intermediates and pharmaceutical compositions, and use of a polymorph above in the treatment of a disease, a disorder or a condition, or in the manufacturing of a medicament for the treatment of a disease, a disorder or a condition.
    Type: Application
    Filed: July 23, 2012
    Publication date: January 29, 2015
    Inventors: Xinshan Kang, Wei Long, Jianxi Zhang, Yunyan Hu, Yinxiang Wang