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US Patent 9372535 Systems, articles, and methods for electromyography-based human-electronics interfaces

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9372535
Patent Inventor Names
Aaron Grant0
Matthew Bailey0
Stephen Lake0
Date of Patent
June 21, 2016
Patent Application Number
14476093
Date Filed
September 3, 2014
Patent Citations Received
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US Patent 12089953 Systems and methods for utilizing intrinsic current noise to measure interface impedances
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US Patent 11868531 Wearable device providing for thumb-to-finger-based input gestures detected based on neuromuscular signals, and systems and methods of use thereof
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US Patent 11907423 Systems and methods for contextualized interactions with an environment
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US Patent 11921471 Systems, articles, and methods for wearable devices having secondary power sources in links of a band for providing secondary power in addition to a primary power source
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US Patent 11941176 Methods and apparatus for autocalibration of a wearable electrode sensor system
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US Patent 11961494 Electromagnetic interference reduction in extended reality environments
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US Patent 11974857 Biometric sensor array
0
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US Patent 11666264 Systems, articles, and methods for electromyography sensors
0
Patent Primary Examiner
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Quan-Zhen Wang
Patent abstract

Human-electronics interfaces in which at least two wearable electromyography (“EMG”) devices are operated to control virtually any electronic device are described. A first wearable EMG device is worn on a first part/location of a user's body and a second wearable EMG device is worn on a second part/location of the user's body. Muscle activity is detected by the two wearable EMG devices and corresponding communication signals are transmitted to an electronic device to control functions thereof. The two wearable EMG devices may communicate with one another. This configuration enables a user to perform elaborate gestures having multiple components (e.g., “two-arm” gestures) with each wearable EMG device detecting a different component, as well as separate gestures (e.g., separate “one-arm” gestures) individually detected and processed by each wearable EMG device.

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