Adaptive performance trainer

Abstract

Adaptive performance trainer for guiding a user toward a psychophysiological state. In an embodiment, psychophysiological signal data is received from one or more sensors, and a current psychophysiological state of a user is determined based on the psychophysiological signal data. The current psychophysiological state is compared to one or more goal states, and one or more control signals are generated based on a difference between the current psychophysiological state and the one or more goal states. The control signal(s) cause one or more feedback devices to generate feedback to guide the user toward the one or more goal states. The feedback may comprise an indication to the user of the current psychophysiological state at a pace that replicates the user's heartbeat.

What is claimed is: 
     
         1 . A system comprising:
 one or more hardware processors;   one or more software modules that, when executed by the one or more hardware processors,
 receive psychophysiological signal data from one or more sensors that collect psychophysiological signals from a user, 
 determine a current psychophysiological state of the user based on the received psychophysiological signal data, 
 compare the current psychophysiological state to one or more goal states, and 
 generate one or more control signals based on a difference between the current psychophysiological state and the one or more goal states; and 
   one or more feedback devices that
 receive the one or more control signals from the one or more software modules, and, 
 in response to the one or more control signals, generate feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user's heartbeat. 
   
     
     
         2 . The system of  claim 1 , wherein the indication to the user of the current psychophysiological state is a tactile indication. 
     
     
         3 . The system of  claim 1 , wherein the indication to the user of the current psychophysiological state decreases as the user's current psychophysiological state approaches the one or more goal states. 
     
     
         4 . The system of  claim 1 , wherein the indication to the user of the current psychophysiological state comprises an indication of a current alpha state of the user. 
     
     
         5 . The system of  claim 1 , further comprising the one or more sensors. 
     
     
         6 . The system of  claim 5 , wherein the one or more sensors comprise an electroencephalograph (EEG) sensor, and wherein the psychophysiological signal data comprise EEG data collected by the EEG sensor. 
     
     
         7 . The system of  claim 1 , wherein the one or more software modules:
 receive a selection of one of a plurality of training profiles, wherein each of the plurality of training profiles comprises at least one goal state; and   determine the one or more goal states to be compared to the current psychophysiological state based on the selected training profile.   
     
     
         8 . The system of  claim 1 , wherein comparing the current psychophysiological state to one or more goal states comprises comparing one or more event-related potentials representing the current psychophysiological state to one or more event-related potentials representing the one or more goal states. 
     
     
         9 . The system of  claim 1 , wherein comparing the current psychophysiological state to one or more goal states comprises comparing an instantaneous heart rate representing the current psychophysiological state to an instantaneous heart rate representing the one or more goal states. 
     
     
         10 . The system of  claim 1 , wherein comparing the current psychophysiological state to one or more goal states comprises comparing a heart rate variability representing the current psychophysiological state to a heart rate variability representing the one or more goal states. 
     
     
         11 . The system of  claim 1 , wherein the psychophysiological signal data comprises electromyography (EMG) signal data, and wherein comparing the current psychophysiological state to one or more goal states comprises comparing a variance of the EMG signal data representing the current psychophysiological state to a variance of EMG signal data representing the one or more goal states. 
     
     
         12 . The system of  claim 1 , wherein comparing the current psychophysiological state to one or more goal states comprises comparing an engagement metric representing the current psychophysiological state to an engagement metric representing the one or more goal states. 
     
     
         13 . The system of  claim 1 , wherein comparing the current psychophysiological state to one or more goal states comprises comparing a mental workload metric representing the current psychophysiological state to a mental workload metric representing the one or more goal states. 
     
     
         14 . The system of  claim 1 , wherein the system is a wearable battery-powered apparatus, wherein the one or more hardware processors and one or more feedback devices are comprised in the wearable battery-powered apparatus, and wherein the one or more software modules are stored in a memory of the wearable battery-powered apparatus. 
     
     
         15 . The system of  claim 14 , wherein the wearable battery-powered apparatus comprises one or more ports configured to interface with one or more peripheral devices. 
     
     
         16 . The system of  claim 1 , wherein the one or more feedback devices comprise a haptic vibration device that generates haptic vibrations. 
     
     
         17 . A method comprising:
 by one or more sensors, collecting psychophysiological signals from a user;   by at least one hardware processor,
 receiving psychophysiological signal data from the one or more sensors, 
 determining a current psychophysiological state of the user based on the received psychophysiological signal data, 
 comparing the current psychophysiological state to one or more goal states, and 
 generating one or more control signals based on a difference between the current psychophysiological state and the one or more goal states; and, by one or more feedback devices, 
 receiving the one or more control signals, and, 
 in response to the one or more control signals, generating feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user's heartbeat. 
   
     
     
         18 . The method of  claim 17 , wherein the indication to the user of the current psychophysiological state is a tactile indication. 
     
     
         19 . A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to:
 receive psychophysiological signal data from one or more sensors that collect psychophysiological signals from a user;   determine a current psychophysiological state of the user based on the received psychophysiological signal data;   compare the current psychophysiological state to one or more goal states; and   initiate feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user's heartbeat.   
     
     
         20 . The non-transitory computer-readable medium of  claim 19 , wherein the indication to the user of the current psychophysiological state is a tactile indication.