Adaptive performance trainer
First Claim
1. A system for accelerating learning of a task using real-time data acquisition and analysis of real-time psychophysiological signals obtained from a user, the system comprising:
- one or more hardware processors;
a monitoring module configured to, when executed by the one or more hardware processors, continuously monitor psychophysiological signal data collected from a plurality of sensors attached to a user during a pre-shot period of the task to be learned;
an expertise profiler module configured toanalyze the psychophysiological signal data to generate a current psychophysiological state of the user by computing one or more power spectral density indices from electroencephalographic activity of the user and converting the one or more power spectral density indices into one or more probabilities that the user'"'"'s level of mental effort and engagement belongs to one of a plurality of classes using a discriminant function,compare the current psychophysiological state of the user to one or more goal states associated with expert performance of the task to be learned, andgenerate a set of control signals based on difference between the current psychophysiological state of the user to one or more goal states; and
a real-time feedback generator configured to, when executed by the one or more hardware processors, during the pre-shot period,receive the control signals from the expertise profiler module, andgenerate at least one multimodality feedback signal to provide feedback to guide the user toward the one or more goal states, wherein the multimodality feedback signal is based on the control signals received from the expertise profiler module, wherein the feedback comprises a tactile indication to the user of the user'"'"'s current psychophysiological state at a pace that replicates the user'"'"'s heartbeat, and wherein the tactile indication of the user'"'"'s current psychophysiological state decreases as the user'"'"'s current psychophysiological state approaches an ideal shooting state for the task to be learned.
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Accused Products
Abstract
Techniques for accelerating training through optimization of the psychophysiological state of the trainee are provided. These techniques include an adaptive performance training system configured to acquire, analyzed, display, and translate data that reflects the psychophysiological state of the user, including the electrical activity of the brain (EEG), the heart (EKG), the musculature (EMG), respiration and other parameters that characterize the state of the user in real-time. The system includes a plurality of feedback mechanisms for providing visual, auditory, and/or tactile feedback based on the current psychophysiological state of the user and for facilitating moving the user toward a goal psychophysiological state for performing a particular task and for optimizing performance of that task.
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Citations
32 Claims
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1. A system for accelerating learning of a task using real-time data acquisition and analysis of real-time psychophysiological signals obtained from a user, the system comprising:
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one or more hardware processors; a monitoring module configured to, when executed by the one or more hardware processors, continuously monitor psychophysiological signal data collected from a plurality of sensors attached to a user during a pre-shot period of the task to be learned; an expertise profiler module configured to analyze the psychophysiological signal data to generate a current psychophysiological state of the user by computing one or more power spectral density indices from electroencephalographic activity of the user and converting the one or more power spectral density indices into one or more probabilities that the user'"'"'s level of mental effort and engagement belongs to one of a plurality of classes using a discriminant function, compare the current psychophysiological state of the user to one or more goal states associated with expert performance of the task to be learned, and generate a set of control signals based on difference between the current psychophysiological state of the user to one or more goal states; and a real-time feedback generator configured to, when executed by the one or more hardware processors, during the pre-shot period, receive the control signals from the expertise profiler module, and generate at least one multimodality feedback signal to provide feedback to guide the user toward the one or more goal states, wherein the multimodality feedback signal is based on the control signals received from the expertise profiler module, wherein the feedback comprises a tactile indication to the user of the user'"'"'s current psychophysiological state at a pace that replicates the user'"'"'s heartbeat, and wherein the tactile indication of the user'"'"'s current psychophysiological state decreases as the user'"'"'s current psychophysiological state approaches an ideal shooting state for the task to be learned. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for accelerating learning of a task using real-time data acquisition and analysis of real-time psychophysiological signals obtained from a user using an adaptive portable training device worn by the user, the method comprising:
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continuously monitoring at the portable training device psychophysiological signal data from a plurality of sensors attached to a user during a pre-shot period of the task to be learned; and
,during the pre-shot period, analyzing at the portable training device the psychophysiological signal data to generate a current psychophysiological state of the user by computing one or more power spectral density indices from electroencephalographic activity of the user and converting the one or more power spectral density indices into one or more probabilities that the user'"'"'s level of mental effort and engagement belongs to one of a plurality of classes using a discriminant function, comparing at the portable training device the current psychophysiological state to one or more goal states associated with expert performance of the task to be learned, determining at the portable training device multimodality feedback to be provide to the user based on the comparison of the current psychophysiological state of the user to the one or more goal states, and delivering from the portable training device the multimodality feedback to the user in real-time to guide the user toward the one or more goal states, wherein the multimodality feedback delivered to the user is based on the control signals received from the expertise profiler module, and wherein the multimodality feedback comprises a tactile indication to the user of the user'"'"'s current psychophysiological state at a pace that replicates the user'"'"'s heartbeat, and wherein the tactile indication of the user'"'"'s current psychophysiological state decreases as the user'"'"'s current psychophysiological state approaches an ideal shooting state for the task to be learned. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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Specification