Interaxon Inc.

Christopher Allen Aimone

Ariel Stephanie Garten

Raul Rajiv Rupsingh

Kapil Jay Mishra Vidyarthi

Paul Harrison Baranowski

Locillo (Lou) Giuseppe Pino

Trevor Ce Coleman

Graeme Daniel Moffat

Samuel Thomas Mackenzie

Michael Apollo Chabior

Madeline Ashby

Paul V Tadich

Tracy Nicole Chong

Tristan Zimmermann

Olivier Mayrand

Scott E Grant

Hubert Jacob Banville

Trevor C E Coleman

Nicole Hélène Proulx

Javier Arturo Moreno Camargo

Marta Joanna Zacharowska

Nicole Helene Proulx

Amanda Fleury

Kapil Jay Vidyarthi

Locillo Giuseppe Pino

Nathaly Arraiz Matute

Sean Wood

Subash Padmanaban

Sam Kerr

Aravind Ravi

Lou Pino

Hubert Banville

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 wearable device to wear on a head of a user includes a flexible band generally shaped to correspond to the user's head, the band having at least a front portion to contact at least part of a frontal region of the user's head, a rear portion to contact at least part of an occipital region of the user's head, and at least one side portion extending between the front portion and the rear portion to contact at least part of an auricular region of the user's head. A deformable earpiece is connected to the at least one side portion, the deformable earpiece including conductive material to provide at least one bio-signal sensor to contact at least part of the auricular region of the user's head. At least one additional bio-signal sensor is disposed on the band to receive bio-signals from the user.

Wearable computing device

A wearable computing device with bio-signal sensors and a feedback module provides an interactive mediated reality ('VR') environment for a user. The bio-signal sensors receive bio-signal data (for example, brainwaves) from the user and include bio-signal sensors embedded in a display isolator, having a deformable surface, and having an electrode extendable to contact the user's skin. The wearable computing device further includes a processor to: present content in the VR environment via the feedback module; receive bio-signal data of the user from the bio-signal sensor; process the bio-signal data to determine user states of the user, including brain states, using a user profile; modify a parameter of the content in the VR environment in response to the user states of the user. The user receives feedback indicating the modification of the content via the feedback module.

Wearable computing device with electrophysiological sensors

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

There is provided a wearable system for determining at least one movement property. The wearable system includes a head-mounted device including at least one movement sensor; a processor connected to the head-mounted device; and a display connected to the processor. The processor includes a medium having instructions stored thereon that when executed cause the processor to: obtain sensor data from the at least one movement sensor; determine at least one movement property based on the obtained sensor data; and display the at least one movement property on the display. There is also provided a method for displaying the at least one movement property.

Wearable computing apparatus with movement sensors and methods therefor

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

Wearable band

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

Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.

System and method for brain modelling

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Toronto, Canada

Christopher Allen Aimone