Biosleeve human-machine interface

US9278453B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9278453-B2
Application numberUS-201313903781-A
CountryUS
Kind codeB2
Filing dateMay 28, 2013
Priority dateMay 25, 2012
Publication dateMar 8, 2016
Grant dateMar 8, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Systems and methods for sensing human muscle action and gestures in order to control machines or robotic devices are disclosed. One exemplary system employs a tight fitting sleeve worn on a user arm and including a plurality of electromyography (EMG) sensors and at least one inertial measurement unit (IMU). Power, signal processing, and communications electronics may be built into the sleeve and control data may be transmitted wirelessly to the controlled machine or robotic device.

First claim

Opening claim text (preview).

What is claimed is: 1. An apparatus for sensing user input, comprising: an elastic material for fitting tightly to a body portion of a user, the body portion having underlying muscles of the user; an array of electromyography (EMG) sensors disposed in the elastic material to be proximate to the underlying muscles of the user in order to sense activity of the underlying muscles and yield EMG electrical signals therefrom; a plurality of inertial measurement units (IMUs) each disposed on a separately moving portion of the user for determining position and orientation of each of the plurality of inertial measurement units (IMUs) in order to sense differential movement between body parts and yielding corresponding IMU data, each IMU providing nine-axis measurements, three for gyrometers, three for accelerometers and three for magnetic field vector; a processor for receiving the EMG electrical signals and the IMU data and deriving control data for a robotic device; and a power supply powering the processor and the plurality of IMUs. 2. The apparatus of claim 1 , wherein the array of EMG sensors is disposed to exceed an area of the body portion such that only an active subset of the EMG sensors are identified to sense the activity of the underlying muscles and yield the EMG electrical signals therefrom. 3. The apparatus of claim 1 , wherein the EMG electrical signals and the IMU data correspond to static or dynamic gestures of the user. 4. The apparatus of claim 1 , further comprising a wireless transceiver for transmitting the control data to be received by the remote robotic device. 5. The apparatus of claim 1 , wherein the body portion comprises a forearm of the user and the derived control data corresponds to hand and arm gestures of the user. 6. The apparatus of claim 5 , wherein the plurality of IMUs comprise three IMUs, one on a forearm of the user, one on an upper arm of the user, and one on the torso of the user. 7. The apparatus of claim 5 , wherein the array of EMG sensors provides finger position and arm rotation information and the one or more IMUs provide hand position and arm position information. 8. The apparatus of claim 7 , wherein the finger position and the arm rotation information and the hand position and the arm position information correspond to static or dynamic gestures of the user. 9. A method for sensing user input, comprising: fitting an elastic material tightly to a body portion of a user, the body portion having underlying muscles of the user, and an array of electromyography (EMG) sensors disposed in the elastic material to be proximate to the underlying muscles of the user; sensing activity of the underlying muscles with the array of EMG sensors to yield EMG electrical signals therefrom; determining position and orientation of each of a plurality of inertial measurement units (IMUs) each disposed on a separately moving portion of the user in order to sense differential movement between body parts and yielding corresponding IMU data each IMU providing nine-axis measurements, three for gyrometers, three for accelerometers and three for magnetic field vector; deriving control data for a robotic device with a processor from the EMG electrical signals and the IMU data; and powering the processor and the one or more IMUs with a power supply. 10. The method of claim 9 , wherein the array of EMG sensors is disposed to exceed an area of the body portion such that only an active subset of the EMG sensors are identified to sense the activity of the underlying muscles and yield the EMG electrical signals therefrom. 11. The method of claim 9 , wherein the EMG electrical signals and the IMU data correspond to static or dynamic gestures of the user. 12. The method of claim 9 , further comprising transmitting the control data to be received by the robotic device with a wireless transceiver. 13. The method of claim 9 , wherein the body portion comprises a forearm of the user and the derived control data corresponds to hand and arm gestures of the user. 14. The method of claim 13 , wherein the plurality of IMUs comprise three IMUs, one on a forearm of the user, one on an upper arm of the user, and one on the torso of the user. 15. The method of claim 13 , wherein the array of EMG sensors provides finger position and arm rotation information and the plurality of IMUs provide hand position and arm position information. 16. The method of claim 15 , wherein the finger position and the arm rotation information and the hand position and the arm position information correspond to static or dynamic gestures of the user. 17. An apparatus for sensing user input, comprising: a plurality of muscle activity sensing means for sensing activity of underlying muscles of a body portion of a user and yielding electrical signals therefrom, the plurality of sensor means disposed in an array; a plurality of inertial sensing means for determining position and orientation of each of the plurality of inertial sensing means, each inertial sensing means disposed on a separately moving portion of the user, in order to sense differential movement between body parts and yielding corresponding inertial data, each inertial sensing means providing nine-axis measurements, three for gyrometers, three for accelerometers and three for magnetic field vector; a processing means for deriving control data for a robotic device from the electrical signals and the inertial data; and a supply means for powering the processing means and the plurality of inertial sensing means. 18. The apparatus of claim 17 , wherein the array of muscle activity sensing means is disposed to exceed an area of the body portion such that only an active subset of the muscle activity sensing means are identified to sense the activity of the underlying muscles and yield the electrical signals therefrom.

Assignees

Inventors

Classifications

  • Determining posture transitions · CPC title

  • with cables, chains or ribbons · CPC title

  • involving training the classification device · CPC title

  • Hand · CPC title

  • Hand-worn input/output arrangements, e.g. data gloves · CPC title

Patent family

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What does patent US9278453B2 cover?
Systems and methods for sensing human muscle action and gestures in order to control machines or robotic devices are disclosed. One exemplary system employs a tight fitting sleeve worn on a user arm and including a plurality of electromyography (EMG) sensors and at least one inertial measurement unit (IMU). Power, signal processing, and communications electronics may be built into the sleeve an…
Who is the assignee on this patent?
Assad Christopher, California Inst Of Techn
What technology area does this patent fall under?
Primary CPC classification B25J9/1694. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Mar 08 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).