18156367. DETECTION OF HAND GESTURES USING GESTURE LANGUAGE DISCRETE VALUES simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

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DETECTION OF HAND GESTURES USING GESTURE LANGUAGE DISCRETE VALUES

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Daniel Freedman of Zikhron-Yaakov (IL)

Kfir Karmon of Petach-Tikva (IL)

Eyal Krupka of Shimshit (IL)

Yagil Engel of Tel-Aviv (IL)

Yevgeny Shapiro of Nazareth Ilit (IL)

DETECTION OF HAND GESTURES USING GESTURE LANGUAGE DISCRETE VALUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18156367 titled 'DETECTION OF HAND GESTURES USING GESTURE LANGUAGE DISCRETE VALUES

Simplified Explanation

The abstract of the patent application describes a computer implemented method for detecting a hand gesture of a user.

  • The method involves detecting and analyzing hand movements of a user.
  • The system uses a computer to process the hand movements and determine the specific hand gesture being performed.
  • The method may involve using a camera or other sensors to capture the hand movements.
  • The system may also include machine learning algorithms to improve the accuracy of gesture recognition.
  • The detected hand gestures can be used to control various applications or devices.

Potential Applications

This technology has potential applications in various fields, including:

  • Human-computer interaction: The hand gestures can be used as a natural and intuitive way to interact with computers, smartphones, or other devices.
  • Gaming: Hand gestures can be used as input for controlling characters or actions in video games.
  • Virtual reality/augmented reality: Hand gestures can enhance the immersive experience in virtual or augmented reality environments.
  • Sign language translation: The technology can be used to interpret and translate sign language gestures into text or speech.
  • Accessibility: Hand gestures can provide alternative input methods for individuals with physical disabilities.

Problems Solved

This technology solves several problems related to human-computer interaction and gesture recognition, including:

  • Natural interaction: Hand gestures provide a more intuitive and natural way for users to interact with computers and devices.
  • Accessibility: Hand gestures can offer alternative input methods for individuals with physical disabilities who may have difficulty using traditional input devices.
  • Accuracy: The use of machine learning algorithms and advanced computer vision techniques can improve the accuracy of gesture recognition, reducing errors and false positives.

Benefits

The benefits of this technology include:

  • Improved user experience: Hand gestures provide a more engaging and immersive interaction experience compared to traditional input methods.
  • Accessibility: The technology enables individuals with physical disabilities to interact with computers and devices more easily.
  • Efficiency: Hand gestures can be a faster and more efficient way to perform certain actions or commands compared to using a keyboard or mouse.
  • Versatility: Hand gestures can be used in various applications and industries, providing a flexible input method that can adapt to different use cases.


Original Abstract Submitted

Computer implemented method for detecting a hand gesture of a user, comprising: