System and method for embedded cognitive state metric system
AssigneeEmotiv Inc.
InventorsTan Le, Geoffrey Ross Mackellar
Life of this patent
Estimating the term…
Abstract
An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.
Claims20
A system, comprising:
- a user interface configured to receive:
- user information for each user of a set of users;
- a set of stimuli;
- a set of parameters for each stimulus of the set of stimuli;
- and
- experiment contextual information;
- a set of biosignal detectors, each biosignal detector of the set of biosignal detectors comprising a set of EEG sensors;
- and
- a processing system configured to:
- for each user of the set of users:
- record a first bioelectrical signal dataset from a biosignal detector of the set of biosignal detectors as the user engages with a first stimulus of the set of stimuli;
- record a second bioelectrical signal dataset from the biosignal detector of the set of biosignal detectors as the user engages with a second stimulus of the set of stimuli;
- generate, based on the first bioelectrical signal dataset, a first set of cognitive state metrics for a set of cognitive states;
- and
- generate, based on the second bioelectrical signal dataset, a second set of cognitive state metrics for the set of cognitive states;
- using a machine learning model, determine a set of analytics based on:
- the first set of cognitive state metrics and the second set of cognitive state metrics for each user of the set of users, the user information for each user of a set of users, the set of parameters for each stimulus of the set of stimuli, and the experiment contextual information;
- and
- control the user interface to graphically present the set of analytics.
A method, comprising:
- receiving, at a user interface, user information for each user of a set of users, a set of stimuli, a set of parameters for each stimulus of the set of stimuli, and experiment contextual information, wherein each user of the set of users is associated with a biosignal detector of a set of biosignal detectors;
- for each user of the set of users:
- as the user engages with a first stimulus of the set of stimuli, recording a first bioelectrical signal dataset from the biosignal detector associated with the user;
- as the user engages with a second stimulus of the set of stimuli, recording a second bioelectrical signal dataset from the biosignal detector associated with the user;
- determining, based on the first bioelectrical signal dataset, a first set of cognitive state metrics for a set of cognitive states;
- determining, based on the second bioelectrical signal dataset, a second set of cognitive state metrics for the set of cognitive states;
- using a machine learning model, determining a set of analytics based on the first set of cognitive state metrics and the second set of cognitive state metrics for each user of the set of users, the user information for each user of a set of users, the set of parameters for each stimulus of the set of stimuli, and the experiment contextual information;
- and
- graphically presenting the set of analytics at the user interface.
Dependencies are inferred from the claim text.