One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Disclosed herein are apparatuses for manipulation of an ear device within the ear canal of a subject. Also disclosed herein are methods of using said apparatuses for the insertion, removal, or other manipulations of the ear device. Also disclosed herein are methods of making the apparatuses, and kits containing the apparatus with instructions for use.

Disclosed herein are apparatuses for manipulation of an ear device within the ear canal of a subject. Also disclosed herein are methods of using said apparatuses for the insertion, removal, or other manipulations of the ear device. Also disclosed herein are methods of making the apparatuses, and kits containing the apparatus with instructions for use.

An information processing apparatus includes a behavior state detection sensor configured to detect behavior state information on a behavior state of a user; a behavior pattern information generation unit configured to generate behavior pattern information in a multidimensional space formed of coordinate axes based on the behavior state information to generate a group of spaces in each of which density of a behavior pattern information group as a collection of pieces of the behavior pattern information exceeds predetermined density; a behavior score calculation unit configured to calculate, as a behavior score, information on a size of the space including the behavior pattern information group; and a behavior pattern identification unit configured to identify, as a behavior pattern of the user, the behavior pattern information group in the space for which a value of the behavior score is equal to or larger than a predetermined value.

Apparatuses and methods for non-invasively detecting and classifying transcranial electrical signals are disclosed herein. In an embodiment, system for detecting and interpreting transcranial electrical signals includes: a headset including a plurality of electrodes arranged for detection of the user's transcranial electrical signals; a display configured to display information to the user while the user wears the headset; and a control unit programmed to: (i) receive data relating to the transcranial electrical signals detected by the electrodes of the headset; (ii) create a data matrix with the received data; (iii) convert the data matrix into one or more user values; (iv) define a user output state based on the one or more user values; and (iv) cause alteration of an aspect of the display based on the user output state.

Apparatuses and methods for non-invasively detecting and classifying transcranial electrical signals are disclosed herein. In an embodiment, system for detecting and interpreting transcranial electrical signals includes: a headset including a plurality of electrodes arranged for detection of the user's transcranial electrical signals; a display configured to display information to the user while the user wears the headset; and a control unit programmed to: (i) receive data relating to the transcranial electrical signals detected by the electrodes of the headset; (ii) create a data matrix with the received data; (iii) convert the data matrix into one or more user values; (iv) define a user output state based on the one or more user values; and (iv) cause alteration of an aspect of the display based on the user output state.

Disclosed herein are an apparatus and method for generating 1:1 emotion-tailored cognitive behavioral therapy in a metaverse space through an artificial intelligence (AI) control module for emotion-tailored cognitive behavioral therapy (CBT) that can measure electroencephalogram (EEG) signals when a user views and feels a metaverse virtual space and can generate metaverse virtual space content for 1:1 emotion-tailored cognitive behavioral therapy in the metaverse virtual space based on the emotional state (joy, fear, sadness, pleasure, anger, disgust, or depression) of the measured EEG signals.

Disclosed herein are an apparatus and method for generating 1:1 emotion-tailored cognitive behavioral therapy in a metaverse space through an artificial intelligence (AI) control module for emotion-tailored cognitive behavioral therapy (CBT) that can measure electroencephalogram (EEG) signals when a user views and feels a metaverse virtual space and can generate metaverse virtual space content for 1:1 emotion-tailored cognitive behavioral therapy in the metaverse virtual space based on the emotional state (joy, fear, sadness, pleasure, anger, disgust, or depression) of the measured EEG signals.

A system and method for a cloud-based gaming platform with integrated health-related data collection capabilities. In an embodiment, the system and method comprise a cloud-based gaming platform comprising a frontend accessible from various game clients which operates a gaming environment on one or more game servers, a backend that provides the game database and analytics used by the game servers to operate the gaming environment, and a HIPPA-compliant security gateway configured to route health-related data from gaming to a healthcare diagnostics and treatment module integrated into the platform. Exercising on an exercise machine compatible with the cloud-based gaming platform entertains the user while simultaneously capturing data about the user's physical and mental performance which can later be used to diagnose medical conditions and, depending on configuration, implement treatment regimens comprising exercise routines and mental simulation via tasks in the gaming environment.