Meta platforms technologies, llc (20240329749). EASY-TO-REMEMBER INTERACTION MODEL USING IN-AIR HAND GESTURES TO CONTROL ARTIFICIAL-REALITY HEADSETS, AND METHODS OF USE THEREOF simplified abstract

EASY-TO-REMEMBER INTERACTION MODEL USING IN-AIR HAND GESTURES TO CONTROL ARTIFICIAL-REALITY HEADSETS, AND METHODS OF USE THEREOF

Organization Name

meta platforms technologies, llc

Inventor(s)

Willy Huang of San Francisco CA (US)

EASY-TO-REMEMBER INTERACTION MODEL USING IN-AIR HAND GESTURES TO CONTROL ARTIFICIAL-REALITY HEADSETS, AND METHODS OF USE THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240329749 titled 'EASY-TO-REMEMBER INTERACTION MODEL USING IN-AIR HAND GESTURES TO CONTROL ARTIFICIAL-REALITY HEADSETS, AND METHODS OF USE THEREOF

Simplified Explanation: The patent application describes a method of using thumb-based gestures to navigate within and between applications on a wrist-wearable device with a biopotential-signal-sensing component.

• Key Features and Innovation:

   * Presentation of application content based on thumb movement direction.
   * Differentiation between applications based on thumb movement.
   * Utilization of biopotential-signal-sensing component for gesture recognition.

• Potential Applications:

   * Wearable technology
   * User interface design
   * Gesture-based navigation systems

• Problems Solved:

   * Enhancing user experience on wrist-wearable devices
   * Efficient navigation between applications
   * Intuitive gesture control for users

• Benefits:

   * Improved user interaction with applications
   * Seamless navigation experience
   * Enhanced usability of wrist-wearable devices

• Commercial Applications:

   * "Thumb-based Gesture Navigation System for Wearable Devices"
   * Potential use in smartwatches, fitness trackers, and other wrist-wearable devices
   * Market implications in the wearable technology industry

• Prior Art:

   * Further research on thumb-based gestures in wearable technology
   * Exploration of biopotential-signal-sensing components in user interfaces

• Frequently Updated Research:

   * Updates on biopotential-signal-sensing technology
   * Advancements in gesture recognition systems for wearable devices

• Questions about Thumb-Based Gesture Navigation:

   * How does the biopotential-signal-sensing component enhance gesture recognition?
   * What are the potential limitations of thumb-based gestures on wrist-wearable devices?

Original Abstract Submitted

one example of a method of using thumb-based gestures to navigate within and between applications is described herein. the method includes causing presentation of application content associated with an application to a user of a wrist-wearable device, the wrist-wearable device including a biopotential-signal-sensing component. the method includes, in response to receiving a first indication, based on data from the biopotential-signal-sensing component, that a thumb of the user is moving in a first direction on a portion of a hand of the user, causing presentation of different application content associated with the application. and the method includes, in response to receiving a second indication, based on data from the biopotential-signal-sensing component, that the thumb of the user is moving in a second direction, on the portion of the hand of the user, causing presentation of other application content associated with another application, the other application distinct from the application.