The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 08, 2025
Filed:
Jun. 03, 2020
Southeast University, Jiangsu, CN;
Aiguo Song, Jiangsu, CN;
Xuhui Hu, Jiangsu, CN;
Zhikai Wei, Jiangsu, CN;
Huijun Li, Jiangsu, CN;
Baoguo Xu, Jiangsu, CN;
Hong Zeng, Jiangsu, CN;
SOUTHEAST UNIVERSITY, Jiangsu, CN;
Abstract
Provided are a multi-degree-of-freedom myoelectric artificial hand control system and a method for using same. The system comprises a robotic hand, a robotic wrist (), a stump receiving cavity () and a data processor (), wherein the robotic hand and the stump receiving cavity () are respectively mounted on two ends of the robotic wrist (); a multi-channel myoelectric array electrode oversleeve, a control unit circuit board, and a battery are connected in the stump receiving cavity (); and the other end of the control unit circuit board is connected to the robotic hand and the robotic wrist (). The method for using the system comprises the following steps: (S1) a user wearing a multi-channel myoelectric array electrode oversleeve, and connecting a battery and a control unit circuit board; (S2) the user completing a gesture, collecting a surface electromyography signal and then uploading same to a data processor (); (S3) the data processor () receiving the surface electromyography signal and inputting same into a neural network algorithm to generate a gesture prediction model; and (S4) the user controlling the multi-degree-of-freedom movement of the robotic wrist () and the robotic hand. By means of the system, continuous gestures and the gesture strength thereof can be identified, and multi-degree-of-freedom gestures can be made.