公开(公告)号：US20210278894A1

公开(公告)日：2021-09-09

申请号：US16324926

申请日：2017-11-09

Applicant: SOUTH CHINA UNIVERSITY OF TECHNOLOGY

Inventor： Yuanqing LI ,  Shenghong HE

IPC: G06F3/01 ,  G06F3/0488 ,  G06K9/00 ,  G06K9/62 ,  G06N20/10 ,  G06N5/04

Abstract: The present invention discloses an EOG-based method and apparatus for asynchronous character input, said method comprising the following steps: displaying a virtual keyboard having a total of N keys on a display, the virtual keyboard flickering in rounds, wherein in each round, all N keys randomly flicker once; when spelling, a user blinks after the flickering of a target key, so as to acquire electro-oculogram signals of the user in real-time; capturing electro-oculogram data within a time period following the flickering of a key from the acquired electro-oculogram signals, and using said electro-oculogram data as an original feature vector of the flickering key; N original feature vectors being generated in each cycle, an electro-oculogram identification method is called to identify the N original feature vectors, and outputting a certain result from 0 to N, wherein 0 indicates that a condition for character input is not met, and 1 to N correspond to the N keys on the virtual keyboard. The present invention ensures that blinking by a user may be detected normally, while at the same time effectively eliminating misjudgments of non-blinking signals, thus increasing the accuracy rate of character input.

公开(公告)号：US20170095383A1

公开(公告)日：2017-04-06

申请号：US15380047

申请日：2016-12-15

Applicant: SOUTH CHINA UNIVERSITY OF TECHNOLOGY

Inventor： Yuanqing LI ,  Rui ZHANG

IPC: A61G5/04 ,  G06F3/01 ,  G05B6/02 ,  G05D1/02 ,  G06N99/00

CPC classification number: A61G5/04 ,  A61G2203/18 ,  A61G2203/22 ,  A61G2203/70 ,  G01C21/206 ,  G05B6/02 ,  G05D1/0212 ,  G05D1/0217 ,  G05D1/024 ,  G05D1/0246 ,  G05D1/0253 ,  G05D1/027 ,  G05D1/0272 ,  G05D1/0274 ,  G05D2201/0206 ,  G06F3/013 ,  G06F3/015 ,  G06F3/0482 ,  G06N5/003 ,  G06N20/00 ,  G06N20/20

Abstract: Disclosed is an intelligent wheel chair control method based on a brain computer interface and an automatic driving technology. The method comprises the following steps: acquiring current pictures by webcams to perform obstacle localization; generating candidate destinations and waypoints for path planning according to the current obstacle information; performing self-localization of the wheel chair; selecting a destination by a user through the brain computer interface (BCI); planning an optimal path according to the current position of the wheel chair as a starting point and the destination selected by the user as an end point in combination with the waypoints; calculating a position error between the current position of the wheel chair and the optimal path as the feedback of aPID path tracking algorithm; and calculating a reference angular velocity and linear velocity by means of the PID path tracking algorithm and transmitting them to a PID motion controller, converting odometry data from encoders into current angular and linear velocities as a feedback of the PID motion controller, and controlling the driving of the wheel chair in real time to the destination. The intelligent wheel chair control method greatly relieves the mental burden of a user, can adapt to changes in the environment, and improves the self-care ability of patients with severe paralysis.