Methods and systems for computer-human interactions

1 . A method of human-computer interaction, comprising:

continuously monitoring bioelectrical signals from a subject's head;

determining that the subject is in a reference brain state based on the bioelectrical signals;

providing interacting signals to the subject;

detecting one or more ocular event-related potentials (o-ERPs) based on the bioelectrical signals, wherein the o-ERPs are results of the subject's voluntary action in response to the interacting signals, wherein the voluntary action includes eye movement, eyelid squeeze, or eye blink; and

conducting an operation, with a computational device, based on the reference brain state and the o-ERPs, wherein:

the interacting signals include audio signals, visual signals, or mechanical signals, or a combination thereof, and the reference brain state is a wake state, a meditation state, a sleep state, a rapid eye movement (REM) state, a non-REM to REM transition state, a dream state, a lucid dream state, a hypnagogic state, a sleep paralysis state, a micro-awakening state, an increased arousal level state, or a recent wake-up state, or a transitioning state between any of two states thereof,

at least a portion of the interacting signals have a controlled parameter with an initiation value that is determined by a calibration regimen, and

the calibration regimen includes:

providing a reference signal to the subject;

determining whether the subject transitions from the reference brain state to the target brain state based on the bioelectric signals; and

if the subject does not transition to the target brain state, enhancing an action value of the controlled parameter of the reference signal and restarting the calibration regimen upon detection of the reference brain state again; and

if the subject transitions to the target brain state, processing the action value of the parameter of the reference signal to determine the initiation value of the controlled parameter of the reference signals.

2 . The method of claim 1 , wherein the conducting the operation includes adjusting a parameter associated with an output, adding a log record, sending a message, updating a social network status, turning on camera, or activating a menu.

3 . The method of claim 1 , wherein the conducting the operation includes providing further signals with the computational device to the subject, wherein the further signals include audio signals, visual signals, or mechanical signals, or a combination thereof.

4 . The method of claim 3 , wherein the further signals include further interacting signals, which are used to communicate with the subject, and

the method further comprises:

detecting further o-ERPs based on the bioelectrical signals, wherein the further o-ERPs are generated by voluntary eye movement, eyelid squeeze, or eye blink by the subject in response to the further interacting signals.

5 . The method of claim 3 , wherein the further signals include stimulating signals configured to induce a target brain state.

6 . The method of claim 1 , wherein the interacting signals are pre-set by the subject or agreed to by the subject.

7 . The method of claim 1 , wherein the bioelectrical signals from the subject's head include electroencephalogram (EEG), electromyogram (EMG), and/or electrooculogram (EOG) signals.

8 . A method of human-computer interaction, the method comprising:

continuously monitoring bioelectrical signals from a subject's head, wherein the subject is asleep; and

performing a calibration regimen, which includes:

providing a reference signal to the subject, wherein the reference signal has a controlled parameter with an action value;

determining whether the subject transitions from a sleep state to a wake state based on the bioelectric signals; and

if the subject does not transition to the wake state, enhancing the action value of the controlled parameter of the reference signal and restarting the calibration regimen; and

if the subject transitions to the wake state, determining a second-to-last value or a value lower than a last value of the controlled parameter as an initiation value of the controlled parameter; and

providing interacting signals having the controlled parameter with the initiation value to the subject.

9 . The method of claim 8 , further comprising detecting o-ERPs based on the bioelectrical signals, wherein the o-ERPs are responsive to the interacting signals.

10 . The method of claim 9 , wherein the o-ERPs result from voluntary action of the subject.

11 . The method of claim 8 , wherein the interacting signals are used to induce the subject into a lucid dream state.