Abstract: A brain-computer interface system includes a video processor for producing a display signal, a temporal controller for producing a plurality of repetitive visual stimulus (RVS) signals with different respective temporal aspects, a display device that receives the display signal and displays a corresponding image on a plurality of different display regions and receives the RVS signals and displays corresponding RVS in respective ones of the display regions, an electroencephalographic (EEG) sensor for sensing a visually-evoked cortical potential (VECP) signal in a user with eyes fixated on a viewed one of the display regions, and a VECP processor for processing the VECP signal to identify the respective temporal aspect of the respective RVS of the viewed display region to estimate the eye fixation location. The RVS are generated independently of the display update/refresh rate and at sufficiently high frequencies to avoid flicker perceptible to the user.

Abstract: Methods and systems are described for delivering psychophysiological self-regulation training in a virtual, augmented, and/or mixed reality environment that simulates a social situation, such as one involving conflict. A user (e.g., a trainee) may interface with a training computing system directly or via an avatar that may interact with other characters in the simulation who may be programmed at one or more levels of threat to or cooperation with the trainee. The system may provide feedback to the trainee regarding their cognitive and emotional states. The feedback may be designed to encourage them to develop the ability to respond in future real environments with appropriately effective states, where the feedback may take the form of the behavior of the characters, with the trainee's interaction based on their effective states being rewarded by desirable character behavior and the trainee's ineffective states being penalized by undesirable character behavior.

Abstract: Aspects relate to systems and methods for providing information about a person's physiological signals to that person (and/or others) as they travel through various venues of their daily work and play life. Ubiquitous physiological feedback incentivizes the person to regulate their cognitive and/or emotional states to better perform various tasks. The feedback also provides them with practice opportunities throughout their day to further develop a psychophysiological self-regulation skill set. Obtaining pervasive physiological feedback throughout the environment may be achieved through the person's use and/or interaction with wearable or otherwise mobile physiological monitoring devices or systems and with other systems that may be embedded in environments through which the traveler visits during the course of their day. Such systems may experience functionality changes in response to an individual's physiological signals via biocybernetic adaptation.

Abstract: A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: A dynamic function allocation (DFA) framework balances the workload or achieves other mitigating optimizations for a human operator of a vehicle by dynamically distributing operational functional tasks between the operator and the vehicle's or robot's automation in real-time. DFA operations include those for aviation, navigation, and communication, or to meet other operational needs. The DFA framework provides an intuitive command/response interface to vehicle (e.g., aircraft), vehicle simulator, or robotic operations by implementing a Dynamic Function Allocation Control Collaboration Protocol (DFACCto). DFACCto simulates or implements autonomous control of robot's or vehicle's functional tasks and reallocates some or all tasks between a human pilot and an autonomous system when such reallocation is determined to be preferred, and implements the reallocation.

Abstract: A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

Abstract: A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: Methods, systems, and apparatuses for providing virtual reality environments that may be modified based on physiological measurements of a user. A user may be provided a virtual reality environment to perform a task, such as putting a ball into a hole or driving a vehicle. The virtual reality environment may comprise all or portions of the user's view and may comprise one or more portions of reality. A physiological state measurement device may receive measurements of a physiological state of the user. A computing device may determine, based on the measurements, a projected physiological state of the user. Based on the difference between the projected physiological state and a target physiological state, the virtual reality environment may be modified to make the task harder or easier.

Abstract: Method and systems are disclosed for training state-classifiers for classification of cognitive state. A set of multimodal signals indicating physiological responses of an operator are sampled over a time period. A depiction of operation by the operator during the time period is displayed. In response to user input selecting a cognitive state for a portion of the time period, the one or more state-classifiers are trained. In training the state-classifiers, the set of multimodal signals sampled in the portion of the time period are used as input to the one or more state-classifiers and the selected one of the set of cognitive states is used as a target result to be indicated by the one or more state-classifiers.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

Abstract: Method and systems are disclosed for training state-classifiers for classification of cognitive state. A set of multimodal signals indicating physiological responses of an operator are sampled over a time period. A depiction of operation by the operator during the time period is displayed. In response to user input selecting a cognitive state for a portion of the time period, the one or more state-classifiers are trained. In training the state-classifiers, the set of multimodal signals sampled in the portion of the time period are used as input to the one or more state-classifiers and the selected one of the set of cognitive states is used as a target result to be indicated by the one or more state-classifiers.

Abstract: Method for physiologically modulating videogames and simulations includes utilizing input from a motion-sensing video game system and input from a physiological signal acquisition device. The inputs from the physiological signal sensors are utilized to change the response of a user's avatar to inputs from the motion-sensing sensors. The motion-sensing system comprises a 3D sensor system having full-body 3D motion capture of a user's body. This arrangement encourages health-enhancing physiological self-regulation skills or therapeutic amplification of healthful physiological characteristics. The system provides increased motivation for users to utilize biofeedback as may be desired for treatment of various conditions.

Abstract: New types of controllers allow a player to make inputs to a video game or simulation by moving the entire controller itself or by gesturing or by moving the player's body in whole or in part. This capability is typically accomplished using a wireless input device having accelerometers, gyroscopes, and a camera. The present invention exploits these wireless motion-sensing technologies to modulate the player's movement inputs to the videogame based upon physiological signals. Such biofeedback-modulated video games train valuable mental skills beyond eye-hand coordination. These psychophysiological training technologies enhance personal improvement, not just the diversion, of the user.

Abstract: The invention is an apparatus and method of biofeedback training for attaining a physiological state optimally consistent with the successful performance of a task, wherein the probability of successfully completing the task is made is inversely proportional to a physiological difference value, computed as the absolute value of the difference between at least one physiological signal optimally consistent with the successful performance of the task and at least one corresponding measured physiological signal of a trainee performing the task. The probability of successfully completing the task is made inversely proportional to the physiological difference value by making one or more measurable physical attributes of the environment in which the task is performed, and upon which completion of the task depends, vary in inverse proportion to the physiological difference value.