In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Systems, devices, and methods described herein relate to multi-sensory presentation devices, including virtual reality (VR) devices, visual display devices, sound devices, haptic devices, and other forms of presentation devices, that are configured to present sensory elements, including visual and/or audio scenes, to a user. In some embodiments, one or more sensors including electroencephalography (EEG) sensors and a photoplethysmography (PPG) sensors, e.g., included in a brain-computer interface, can measure physiological data of a user to monitor a state of the user during the presentation of the visual and/or audio scenes. Such systems, devices, and methods can adapt one or more visual and/or audio scenes based on user physiological data, e.g., to control or manage the state of the user.

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.

The present disclosure relates to the field of brainwave technology, and provides a detection device and a detection method. The detection device includes: a brainwave acquisition circuit configured to collect a brainwave signal of a user in the case that a distance between the user and a to-be-detected object is smaller than a threshold; and a processing circuit configured to process the collected brainwave signal to acquire brainwave information, and acquire a detection result of the to-be-detected object in accordance with the brainwave information. The brainwave information includes at least one of olfactory information and gustatory information of the user.

The present disclosure relates to the field of brainwave technology, and provides a detection device and a detection method. The detection device includes: a brainwave acquisition circuit configured to collect a brainwave signal of a user in the case that a distance between the user and a to-be-detected object is smaller than a threshold; and a processing circuit configured to process the collected brainwave signal to acquire brainwave information, and acquire a detection result of the to-be-detected object in accordance with the brainwave information. The brainwave information includes at least one of olfactory information and gustatory information of the user.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

The present invention falls within the field of medical diagnosis, more particularly in the field of computational methods for headache diagnosis.

In short, the invention consists of an intelligent headache management system that comprises a plurality of remote modules connected with at least one analysis module, the remote modules being responsible for the collection of information related to the user and said information collection is carried out by at least one information collection device connected to said remote module. The information is transmitted to an analysis module, which comprises means to store and process the information transmitted by the remote module. The results from the computational processing of said information are transmitted to at least one remote module, being available to the user. The remote module comprises information collection devices for the collection of information actively provided by the user and for the automatic collection of information from the user and comprises stimulus devices for the emission of sensory stimuli to provoke biological responses from the user.

Systems and methods for authenticating and/or routing a digital signal are provided. A system may include a central database configured to store a set of signature brain wave responses as part of a profile of a user. The system may include a transaction device, a sensory device, and an EEG device. When a transaction request is received from the user, the system may be configured to present the user with a sensory prompt, detect a response of the user to the first sensory prompt, compare the response to the signature response in the profile associated with the sensory prompt, and, when the response matches the signature response within a predetermined delta, authenticate and/or route the transaction request.