Interaxon Inc.

Trevor Ce Coleman

Christopher Allen Aimone

Ariel Stephanie Garten

Raul Rajiv Rupsingh

Paul Harrison Baranowski

Kapil Jay Mishra Vidyarthi

Locillo (Lou) Giuseppe Pino

Madeline Ashby

Paul V Tadich

Michael Apollo Chabior

Tracy Nicole Chong

Graeme Daniel Moffat

Samuel Thomas Mackenzie

Javier Arturo Moreno Camargo

Kapil Jay Vidyarthi

Locillo Giuseppe Pino

Lou Pino

Locillo (lou) Pino

Locillo Lou Pino

Locillo Lou Giuseppe Pino

Jay Vidyarthi

A method is provided, performed by a wearable computing device comprising at least one bio-signal measuring sensor, the at least one bio-signal measuring sensor including at least one brainwave sensor, comprising: acquiring at least one bio-signal measurement from a user using the at least one bio-signal measuring sensor, the at least one bio-signal measurement comprising at least one brainwave state measurement; processing the at least one bio-signal measurement, including at least the at least one brainwave state measurement, in accordance with a profile associated with the user; determining a correspondence between the processed at least one bio-signal measurement and at least one predefined device control action; and in accordance with the correspondence determination, controlling operation of at least one component of the wearable computing device, such as modifying content displayed on a display of the wearable computing device. Various types of bio-signals, including brainwaves, may be measured and used to control the device in various ways.

Wearable computing apparatus and method

A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality ('VR') environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.

System and method for enhanced training using a virtual reality environment and bio-signal data

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data

A wearable apparatus for wearing on a head of a user, the apparatus has a band assembly comprising an outer band member comprising outer band ends joined by a curved outer band portion of a curve generally shaped to correspond to the users forehead; a flexible inner band member comprising inner band ends joined by a curved inner band portion of a curve generally shaped to correspond to the user's forehead, the inner band member is attached to the outer band member at least by each inner band end respectively attached to a respective one of the outer band ends; at least one brainwave sensor disposed inwardly along the curved inner band portion to provide a flexible conductive surface; and a deformable attachment that connects the flexible inner band member to the outer band, the deformable attachment allowing the inner band to conform to the user's forehead shape, the deformable attachment having a biasing component to urge the at the at least one brainwave sensor towards the user's forehead when worn by the user.

Wearable apparatus for brain sensors

A computer system or method may be provided for modulating content based on a person's brainwave data, including modifying presentation of digital content at at least one computing device. The content may also be modulated based on a set of rules maintained by or accessible to the computer system. The content may also be modulated based on user input, including through receipt of a presentation control command that may be processed by the computer system of the present invention to modify presentation of content. Content may also be shared with associated brain state information.

System and method for enhancing content using brain-state data

A system and method may be provided for associating bio-signal data (e.g. EEG brain scan data) from at least one user with at least one music data item (e.g. song, or piece of music). By associating bio-signal data, or emotions determined therefrom, with music, the system may establish a data store of music associated with emotions. That database may then be leveraged upon determining that a user is feeling a particular emotion through an EEG scan. When a particular emotion is detected in EEG data of a user, the system may then respond based at least partly on the same or similar emotion being associated with one or more music data items in the system. For example, the system may recommend a particular song associated with the same emotion presently being experienced by the user.

System and method for associating music with brain-state data

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Toronto, Canada

Trevor Ce Coleman