Tongue localization, teeth interaction, and detection system

1. A computer system for identifying tongue movement, comprising:

an electroencephalography (“EEG”) sensor configured to sense an EEG signal generated by a brain in association with a tongue movement;

an electromyography (“EMG”) sensor configured to sense an EMG signal generated by cranial nerve stimulation of muscles associated with the tongue movement;

one or more processors; and

one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform at least the following:

detect the EEG signal from the EEG sensor;

detect the EMG signal from the EMG sensor;

based on the EEG signal and the EMG signal, identify the tongue movement; and

correlate the tongue movement with one of a plurality of tongue location areas.

2. The computer system of claim 1 , further comprising a skin deformation (SKD) sensor configured to sense a SKD signal that varies based on skin deformation.

3. The computer system of claim 2 , wherein the EEG sensor, the EMG sensor, and the SKD sensor comprise a pair of EEG sensors, a pair of EMG sensors, and a pair of SKD sensors.

4. The computer system of claim 1 , wherein the executable instructions include instructions that are executable to configure the computer system to:

detect the SKD signal from the SKD sensor;

based on the SKD signal, the EEG signal and the EMG signal, identify the tongue movement; and

correlate the tongue movement with one of the plurality of tongue location areas.

5. The computer system of claim 1 , wherein the plurality of tongue location areas comprise a set of predefined areas.

6. The computer system of claim 5 , wherein each predefined areas within the set of predefined areas is associated with particular entry in a key map that interfaces with a computer.

7. The computer system of claim 5 , wherein at least one predefined areas within the set of predefined areas is associated with the tongue movement articulating outside a user's teeth.

8. The computer system of claim 1 , wherein the executable instructions include instructions that are executable to configure the computer system to:

detect the EEG signal and the EMG signal;

based on the EEG signal and the EMG signal, identify a particular oral movement; and

correlate the particular oral movement to a command to start or stop said computing device.

9. The computer system of claim 8 , wherein the particular oral movement comprises a teeth-gritting event.

10. The computer system of claim 8 , wherein the particular oral movement comprises correlating the tongue movement with a particular tongue location area.

11. A computer-implemented method for identifying tongue movement, the computer-implemented method executed on one or more processors, the computer-implemented comprising:

detecting an electroencephalography (“EEG”) signal from an EEG sensor, wherein the EEG sensor configured to sense the EEG signal generated by a brain in association with a tongue movement;

detecting an EMG signal from an EMG sensor, wherein the EMG sensor configured to sense the EMG signal generated by cranial nerve stimulation of muscles associated with the tongue movement;

based on the EEG signal and the EMG signal, identifying the tongue movement; and

correlating the tongue movement with one of a plurality of tongue location areas.

12. The computer-implemented method of claim 11 , further comprising a skin deformation (SKD) sensor configured to sense a SKD signal that varies based on skin deformation.

13. The computer-implemented method of claim 12 , wherein the EEG sensor, the EMG sensor, and the SKD sensor comprise a pair of EEG sensors, a pair of EMG sensors, and a pair of SKD sensors.

14. The computer-implemented method of claim 11 , further comprising:

detecting the SKD signal from the SKD sensor;

based on the SKD signal, the EEG signal and the EMG signal, identifying the tongue movement; and

correlating the tongue movement with one of the plurality of tongue location areas.

15. The computer-implemented method of claim 11 , wherein the plurality of tongue location areas comprise a set of predefined areas.

16. The computer-implemented method of claim 15 , wherein each predefined areas within the set of predefined areas is associated with particular entry in a key map that interfaces with a computer.

17. The computer-implemented method of claim 11 , further comprising:

detecting the EEG signal and the EMG signal;

based on the EEG signal and the EMG signal, identifying a particular oral movement; and

correlating the particular oral movement to a command to start or stop said computing device.

18. The computer-implemented method of claim 17 , wherein the particular oral movement comprises a teeth-gritting event.

19. The computer-implemented method of claim 17 , wherein the particular oral movement comprises correlating the tongue movement with a particular tongue location area.

20. A computer program product comprising one or more computer storage media having stored thereon computer-executable instructions that, when executed at a processor, cause the computer system to perform a method for identifying tongue movement, the method comprising:

detecting an electroencephalography (“EEG”) signal from an EEG sensor, wherein the EEG sensor configured to sense the EEG signal generated by a brain in association with a tongue movement;

detecting an EMG signal from an EMG sensor, wherein the EMG sensor configured to sense the EMG signal generated by cranial nerve stimulation of muscles associated with the tongue movement;

based on the EEG signal and the EMG signal, identifying the tongue movement; and

correlating the tongue movement with one of a plurality of tongue location areas.