US 11,720,081 B2
Mobile brain computer interface
Allen Song, Durham, NC (US); and Chris Petty, Durham, NC (US)
Assigned to DUKE UNIVERSITY, Durham, NC (US)
Filed by Duke University, Durham, NC (US)
Filed on Mar. 17, 2020, as Appl. No. 16/821,114.
Claims priority of provisional application 62/819,863, filed on Mar. 18, 2019.
Prior Publication US 2020/0301402 A1, Sep. 24, 2020
Int. Cl. G05B 19/41 (2006.01); B25J 9/00 (2006.01); G05B 19/4155 (2006.01); G06F 3/01 (2006.01); B25J 9/16 (2006.01); B25J 13/00 (2006.01)
CPC G05B 19/4155 (2013.01) [B25J 9/0006 (2013.01); B25J 9/1656 (2013.01); B25J 13/00 (2013.01); G06F 3/015 (2013.01); G05B 2219/39292 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal comprising an EEG data stream;
processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command;
transmitting, by the mobile computing device to a robotic device, a first wireless communication control signal to cause active operation of the robotic device based on the at least one actionable command; and
transmitting, by the mobile computing device to a sensory motor feedback device, a second wireless communication control signal to cause the sensory motor feedback device to provide tactical feedback during the active operation of the robotic device.