Training of an electroencephalography based control system

US2019290211A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2019290211-A1
Application numberUS-201815948448-A
CountryUS
Kind codeA1
Filing dateApr 9, 2018
Priority dateMar 23, 2018
Publication dateSep 26, 2019
Grant date

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system including an electroencephalography (EEG) device configured to be positioned on a head of a user and process detected EEG signals. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to generate, based on a control instruction, a control data signal, for control of an operation of a controllable device configured to provide a premises related service in an area of a premises. In the training phase, execution of the instructions configures the processor to determine whether or not that the control operation of the control data signal is consistent with the detected EEG signals based on a trusted input from the user, and upon determination that the control operation is consistent with the detected EEG signals, store, in the memory, recognition data characterizing the detected EEG signals as a predetermined set of signals in association with the control instruction.

First claim

Opening claim text (preview).

What is claimed is: 1 . A system comprising: an electroencephalography (EEG) device configured to be positioned on a head of a user, wherein the EEG device includes one or more electrodes configured to detect EEG signals from a brain of the user; circuitry coupled to the one or more electrodes configured to process the EEG signals detected via the one or more electrodes of the EEG device; a processor coupled to or in communication with the circuitry; a memory accessible by the processor; program instructions stored in the memory for execution by the processor; data stored in the memory comprising a control instruction, wherein execution of the program instructions configures the processor to: generate, based on the control instruction, a control data signal, for control of an operation of a controllable device configured to provide a premises related service in an area of a premises; and wherein, in a training phase, execution of the program instructions further configures the processor to: determine whether or not that the control operation of the control data signal is consistent with the detected EEG signals based on a trusted input from the user, and upon determination that the control operation is consistent with the detected EEG signals, store, in the memory, recognition data characterizing the detected EEG signals as a predetermined set of signals in association with the control instruction. 2 . The system of claim 1 , wherein the execution of the program instructions configures the processor to associate the detected EEG signals with the control instruction in data in the memory. 3 . The system of claim 1 , wherein: the trusted input comprises a positive trusted input including an approval of the control operation from the user, and the processor is configured to utilize the positive trusted input to determine that the control operation is consistent with the detected EEG signals. 4 . The system of claim 1 , wherein the trusted input comprises a negative trusted input including a disapproval of the control operation of the control data signal from the user, and the processor is configured to utilize the negative trusted input to determine that the control operation is not consistent with the detected EEG signals. 5 . The system of claim 1 , wherein the trusted input comprises a positive trusted input including a user selection of the control operation, and the processor is configured to utilize the positive trusted input to determine that the control operation is consistent with the detected EEG signals. 6 . The system of claim 1 , wherein the trusted input comprises a negative trusted input including a user selection of another control operation among a plurality of control operations, the processor is configured to utilize the negative trusted input to determine that the control operation is not consistent with the detected EEG signals, and the another control operation is different from the control operation. 7 . The system of claim 1 , wherein the trusted input is received via a user responsive element. 8 . The system of claim 1 , further comprising a personal Internet of Things (PIOT) device coupled to the EEG device, wherein the circuitry includes a data communication transmitter; the PIOT device comprises the processor, the memory including the program instructions stored in the memory, the data stored in the memory and a data communication receiver compatible with the data communication transmitter of the circuitry, wherein the processor is configured to execute the program instructions. 9 . The system of claim 1 , wherein the EEG device comprises the processor and the memory including the program instructions stored in the memory, wherein the processor is configured to execute the program instructions. 10 . The system of claim 1 , further comprising: the controllable device and a controller coupled to or in communication with the controllable device and the processor, configured to control the premises related service provided by the controllable device in the area, in response to the control data signal in a real time operational phase. 11 . The system of claim 1 , wherein execution of the program instructions further configures the processor to: using the stored data, interpret later detection of additional EEG signals from a brain of the user, via the EEG device and the circuitry, to analyze the additional EEG signals to determine that the additional EEG signals correspond to the control instruction; generate the control data signal based on the control instruction; determine whether or not the control operation of the control data signal is consistent with the additional EEG signals based on another trusted input from the user; and upon determination that the control operation is not consistent with the additional EEG signals, modify the recognition data stored in the memory. 12 . The system of claim 11 , wherein function to modify the recognition data comprises modify the recognition data characterizing EEG signals as the predetermined set of signals in association with the control instruction, based on characterizing data derived from the additional EEG signals. 13 . The system of claim 11 , wherein function to modify the recognition data comprises functions to: identify another control instruction; and store, as data in the memory, the recognition data characterizing the additional EEG signals as another predetermined set of signals, in association with the another control instruction. 14 . The system of claim 1 , further comprising: a neural device configured to be positioned on a part of a body of the user, wherein the neural device includes one or more nerve sensors configured to detect nerve signals from nerves in the part of the body of the user, wherein the circuitry is coupled to the one or more nerve sensors and further configured to process the detected nerve signals via the one or more sensors of the neural device; and wherein, in the training phase, execution of the program instructions further configures the processor to: determine whether or not the control operation of the control data signal is also consistent with the detected nerve signals based on another trusted input from the user, and upon determination that the control operation is also consistent with the detected nerve signals, store recognition data characterizing the detected nerve signals as another predetermined set of signals in association with the control instruction. 15 . A system comprising: an electroencephalography (EEG) device configured to be positioned on a head of a user, wherein the EEG device includes one or more electrodes configured to detect signals from a brain of the user; circuitry coupled to the one or more electrodes configured to process signals detected via the one or more electrodes of the EEG device; a processor coupled to or in communication with the circuitry, a memory accessible by the processor; program instructions stored in the memory for execution by the processor; data stored in the memory comprising a control instruction, wherein execution of the program instructions configures the processor to: generate, based on the control instruction, a control data signal, for control of an operation of a controllable device configured to provide a premises related service in an area of a premises; and wherein, in a training phase, execution of the program instructions further configures the processor to: determine whether or not that the control operation of the control data signal is consistent with t

Assignees

Inventors

Classifications

  • for mining of medical data, e.g. analysing previous cases of other patients · CPC title

  • Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection · CPC title

  • Classification; Matching · CPC title

  • in response to determined parameters · CPC title

  • A61B5/7267Primary

    involving training the classification device · CPC title

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What does patent US2019290211A1 cover?
A system including an electroencephalography (EEG) device configured to be positioned on a head of a user and process detected EEG signals. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to generate, based on a control instruction, a control data signal, for cont…
Who is the assignee on this patent?
Abl Ip Holding Llc
What technology area does this patent fall under?
Primary CPC classification A61B5/7267. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Sep 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).