System and method for providing and aggregating biosignals and action data

Abstract

A method and system for providing and aggregating bioelectrical signal data comprising: providing a stimulus configured to prompt an action in both a first user and a second user; at a first biosignal detector and a second biosignal detector, automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and a second bioelectrical signal dataset from the second user as the second user performs the action; generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset; coupling the first and the second anonymized bioelectrical signal datasets with an action tag characterizing the action; and generating an analysis based upon the first the second anonymized bioelectrical signal datasets. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

We claim: 
     
         1 . A method for providing and aggregating electroencephalogram (EEG) bioelectrical signal data associated with a set of users distributed across a set of demographics, using a set of EEG neuroheadsets, the method comprising:
 for each of the set of users,
 establishing an electrical interface between one of the set of EEG neuroheadsets and a user head region; 
 providing a user stimulus, wherein the user stimulus is configured to prompt a user action; 
 at an EEG sensor system of the EEG neuroheadset, automatically collecting an EEG bioelectrical signal dataset in coordination with performance of the user action; 
 at a camera of the EEG neuroheadset, receiving an image dataset in coordination with performance of the user action; 
 at a microphone of the EEG neuroheadset, receiving an audio dataset in coordination with performance of the user action; 
   transforming the EEG bioelectrical signal datasets, the image datasets, and the audio datasets into a set of analyses corresponding to the set of users, wherein the set of analyses determines a characterization of each of the set of demographics;   generating targeted digital content for each of the set of demographics based on the characterization of each of the set of demographics; and   providing, to users in each of the set of demographics, targeted digital content through a web browser.   
     
     
         2 . The method of  claim 1 , wherein each of the set of EEG neuroheadsets further comprises a motion sensor system, and wherein the method further comprises, for each of the set of users, collecting a motion dataset in coordination with performance of the user action, wherein the set of analyses is further based upon the motion datasets for the set of users. 
     
     
         3 . The method of  claim 2 , wherein providing the stimulus comprises providing the stimulus in response to a triggering event, wherein the triggering event is determined from data extracted from the motion sensor system. 
     
     
         4 . The method of  claim 1 , further comprising: for each of the set of users, adjusting environments of the set of users based upon the set of analyses associated with the set of demographics. 
     
     
         5 . The method of  claim 1 , wherein the targeted digital content comprises an advertisement. 
     
     
         6 . The method of  claim 1 , wherein the user stimulus is determined using the microphone of the EEG neuroheadset. 
     
     
         7 . The method of  claim 1 , further comprising providing a second user stimulus to users in each of the set of demographics, wherein the second user stimulus is determined based on the characterization of each of the set of demographics. 
     
     
         8 . The method of  claim 1 , further comprising for each of the set of analyses, coupling the characterization of each of the set of demographics with one of a set of action tags characterizing the user action, wherein the set of action tags is determined from the image datasets of the set of users. 
     
     
         9 . The method of  claim 1 , further comprising for each of the set of analyses, coupling the characterization of each of the set of demographics with one of a set of action tags characterizing the user action, wherein the set of action tags is determined from the audio datasets of the set of users. 
     
     
         10 . The method of  claim 1 , wherein for each of the set of users, the EEG sensor system of the EEG neuroheadset comprises a plurality of EEG sensors corresponding to a plurality of channels, wherein the EEG bioelectrical signal dataset comprises multi-channel EEG bioelectrical signal data, and wherein the set of analyses generated for the set of users is based upon the multi-channel EEG bioelectrical signal datasets, the image datasets, and the audio datasets for the set of users. 
     
     
         11 . A method for providing and aggregating electroencephalogram (EEG) bioelectrical signal data associated with a set of users distributed across a set of demographics, using a set of EEG neuroheadsets, the method comprising:
 for each of the set of users,
 establishing an electrical interface between one of the set of EEG neuroheadsets and a user head region; 
 at a camera of the EEG neuroheadset, detecting an onset of one of a set of user actions; 
 at an EEG sensor system of the EEG neuroheadset, automatically collecting an EEG bioelectrical signal dataset in coordination with performance of the user action, based on detection of the onset; 
 at the camera of the EEG neuroheadset, receiving an image dataset in coordination with performance of the user action; 
   transforming the EEG bioelectrical signal datasets and the image datasets into a set of analyses corresponding to the set of users, wherein the set of analyses determines a characterization of each of the set of demographics;   generating targeted digital content for each of the set of demographics based on the characterization of each of the set of demographics; and   providing, to users in each of the set of demographics, targeted digital content through a digital platform.   
     
     
         12 . The method of  claim 11 , wherein the user action comprises viewing shopping information presented in a digital format. 
     
     
         13 . The method of  claim 11 , wherein each of the set of EEG neuroheadsets further comprises a motion sensor system, wherein the motion sensor system collects a motion dataset during performance of the user actions, wherein the generated set of analyses is based upon the EEG bioelectrical signal datasets, the image datasets, and the motion datasets for the set of users. 
     
     
         14 . The method of  claim 13 , wherein the motion sensor system comprises an accelerometer and a gyroscope and wherein the motion datasets comprise accelerometer data and gyroscope data of a head motion. 
     
     
         15 . The method of  claim 11 , further comprising for each of the set of users, providing a user stimulus, wherein the user stimulus is configured to prompt the user action. 
     
     
         16 . The method of  claim 15 , wherein the characterization of each of the set of demographics is determined based upon the user responses to the user stimuluses. 
     
     
         17 . The method of  claim 11 , further comprising for each of the set of demographics, coupling the characterization of the demographic with one of a set of action tags characterizing the user action, wherein the set of action tags is determined from the image datasets. 
     
     
         18 . The method of  claim 17 , wherein the set of action tags is determined through machine learning techniques implemented by a processor coupled to the camera. 
     
     
         19 . The method of  claim 11 , wherein a processor of the EEG neuroheadset collects an eye movement dataset for each of the set of users, wherein the set of analyses generated is based upon the EEG bioelectrical signal datasets, the image datasets, and the eye movement datasets. 
     
     
         20 . The method of  claim 11 , wherein for each of the set of users, the EEG sensor system of the EEG neuroheadset comprises a plurality of EEG sensors corresponding to a plurality of channels, wherein the EEG bioelectrical signal dataset comprises multi-channel EEG bioelectrical signal data, and wherein the set of analyses generated is based upon the multi-channel EEG bioelectrical signal datasets and the image datasets for the set of users.