Abstract: |
A brain machine interface system for use with an electroencephalogram to identify a behavioral intent of a person is disclosed. The system includes an electroencephalogram configured to sense electromagnetic signals generated by a brain of a person. The electromagnetic signals include a time component and a frequency component. A monitor monitors a response of the person to a stimulus and a characteristic of the stimulus. A synchronization module synchronizes the sensed electromagnetic signals with the response and the characteristic to determine a set of electromagnetic signals corresponding to the monitored response and the characteristic. A processor processes the set of electromagnetic signals and extracts feature vectors. The feature vectors define a class of behavioral intent. The processor determines the behavioral intent of the person based on the feature vectors. A brain machine interface and a method for identifying a behavioral intent of a person is also disclosed. |
Inventor: |
Connolly, Patrick M. (Cary, NC, US); Simons, Stephen (Raleigh, NC, US); Zachery, Karen (Raleigh, NC, US); Ahrens, Barry (Fayetteville, NC, US); Aguilar-Simon, Mario (Chapel Hill, NC, US); Reynolds, JR., William (Raleigh, NC, US); Krnavek, David (Durham, NC, US) |
Applicant: |
Teledyne Scientific & Imaging, LLC (Thousand Oaks, CA, US) |
Face Assignee: |
N/A |
Filed: |
2017-08-16 |
Issued: |
2018-02-22 |
Claims: |
20 |
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US20180049896
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1. A brain machine interface system for use with an electroencephalogram to identify a behavioral intent of a person, the system comprising:
(6)
(4)
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8. A brain machine interface comprising:
(3)
(7)
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15. A method for identifying a behavioral intent of a person, the method comprising:
(2)
(4)
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