公开(公告)号：US20220164029A1

公开(公告)日：2022-05-26

申请号：US17599099

申请日：2019-03-29

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Zheng Yang CHIN ,  Kai Keng ANG

IPC: G06F3/01 ,  G06K9/62 ,  G06N20/00

Abstract: Disclosed is a method for classifying signals for movement control of an autonomous vehicle. The method includes receiving first data comprising concurrently recorded electroencephalogram (EEG) and electromyogram (EMG) signals from a user. The data is used to train a classification model based on the recorded signals. The method further involves receiving second data comprising further EEG and EMG signals recorded from the user, comparing the second data to the classification model to determine a user movement represented by the second data, and determining a control signal for controlling the autonomous vehicle, based on the user movement. This may be used in a further method for identifying an event.

公开(公告)号：US20230380740A1

公开(公告)日：2023-11-30

申请号：US18030717

申请日：2020-10-07

Applicant: Agency for Science, Technology and Research ,  NATIONAL UNIVERSITY OF SINGAPORE

Inventor： Zheng Yang CHIN ,  Haihong ZHANG ,  Cuntai GUAN ,  Chuan Chu WANG ,  Tih Shih LEE

IPC: A61B5/16 ,  A61B5/378

CPC classification number: A61B5/163 ,  A61B5/378

Abstract: Disclosed is a system for sensor-based training intervention. The system includes one or more electroencephalogram (EEG) sensors for retrieving brain signals of a subject, one or more sensors for retrieving eye tracking data of one or both eyes of the subject, and one or more processors. The one or more processors are configured to model a joint state space of the brain signals and eye tacking data by combining the brain signals and eye tracking data into combined data using sequential Bayesian fusion, and measure a visuospatial attention indicator from combined data.