18075786. INERTIAL SENSING OF TONGUE GESTURES simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

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INERTIAL SENSING OF TONGUE GESTURES

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Raymond Michael Winters, Iv of Seattle WA (US)

Tan Gemicioglu of Atlanta GA (US)

Thomas Matthew Gable of Seattle WA (US)

Yu-Te Wang of Redmond WA (US)

Ivan Jelev Tashev of Kirkland WA (US)

INERTIAL SENSING OF TONGUE GESTURES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18075786 titled 'INERTIAL SENSING OF TONGUE GESTURES

Simplified Explanation

The patent application relates to using tongue gestures to control a computing device and training machine learning models to detect these gestures.

  • Receiving motion signals from an inertial sensor
  • Detecting tongue gestures based on the motion signals
  • Outputting the detected tongue gestures

Potential Applications

This technology could be applied in various fields such as:

  • Assistive technology for individuals with physical disabilities
  • Virtual reality and gaming applications
  • Hands-free control in medical settings

Problems Solved

  • Providing an alternative input method for individuals with limited mobility
  • Enhancing user experience in virtual reality and gaming
  • Improving efficiency in medical procedures by enabling hands-free control

Benefits

  • Increased accessibility for individuals with physical limitations
  • Enhanced user interaction with computing devices
  • Improved workflow in medical environments

Potential Commercial Applications

  • Assistive technology devices for individuals with disabilities
  • Virtual reality headsets with tongue gesture control
  • Medical equipment with hands-free operation

Possible Prior Art

One possible prior art could be the use of motion sensors for gesture recognition in devices like smartphones and gaming consoles.

Unanswered Questions

How does the technology handle different tongue gestures with varying complexities?

The patent application does not specify how the machine learning models differentiate between simple and complex tongue gestures, which could impact the accuracy and usability of the system.

What measures are in place to ensure the privacy and security of tongue gesture data collected by the computing device?

The document does not address the potential privacy concerns related to collecting and storing sensitive tongue gesture data, raising questions about data protection and security protocols.


Original Abstract Submitted

This document relates to employing tongue gestures to control a computing device, and training machine learning models to detect tongue gestures. One example relates to a method or technique that can include receiving one or more motion signals from an inertial sensor. The method or technique can also include detecting a tongue gesture based at least on the one or more motion signals, and outputting the tongue gesture.