US 12,121,360 B2
Brain-computer interface for facilitating direct selection of multiple-choice answers and the identification of state changes
Jane E. Huggins, Fenton, MI (US); Seth Warschausky, Ann Arbor, MI (US); and Ramses Eduardo Alcaide, Ann Arbor, MI (US)
Assigned to THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed by THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed on Jul. 6, 2021, as Appl. No. 17/368,207.
Application 17/368,207 is a continuation of application No. 15/305,030, granted, now 11,266,342, previously published as PCT/US2015/032192, filed on May 22, 2015.
Claims priority of provisional application 62/005,243, filed on May 30, 2014.
Prior Publication US 2021/0330242 A1, Oct. 28, 2021
Int. Cl. G06F 3/01 (2006.01); A61B 5/00 (2006.01); A61B 5/372 (2021.01); A61B 5/374 (2021.01); A61B 5/378 (2021.01); A61F 2/72 (2006.01); A61F 4/00 (2006.01); G09B 7/06 (2006.01)
CPC A61B 5/4088 (2013.01) [A61B 5/372 (2021.01); A61B 5/374 (2021.01); A61B 5/378 (2021.01); A61B 5/7221 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7282 (2013.01); A61B 5/742 (2013.01); A61B 5/7435 (2013.01); A61F 2/72 (2013.01); A61F 4/00 (2013.01); G06F 3/015 (2013.01); G09B 7/06 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method implemented in a brain-computer interface (BCI) computer, the method comprising:
calculating, by one or more processors, a first and a second range of classifier values based upon a user's electroencephalograph (EEG) signals while the user is exposed to a target and to a cancellation stimuli, respectively;
calculating, by one or more processors, a first and a second training classifier threshold to separate the first and the second range of classifier values from one another;
classifying, by one or more processors, received EEG signals while the user is subsequently exposed to the target or the cancellation stimuli as being within the first or the second range of classifier values based upon the first and a second training classifier thresholds;
determining, by one or more processors, whether the user has been exposed to the target stimuli or to the cancellation stimuli based upon the classifying of the subsequently received EEG signals into one of the first or the second range of classifier values;
calculating, by one or more processors, a hold-release classifier value based upon EEG signals received after determining whether the user has been subsequently exposed to the target stimuli or to the cancellation stimuli; and
identifying, by one or more processors, whether the user has decided to hold an action associated with the target stimuli or to release the action by switching to the cancellation stimuli based on a comparison between the hold-release classifier value and the first and second training classifier thresholds.