US Patent Application 17752120. GESTURE RECOGNITION, ADAPTATION, AND MANAGEMENT IN A HEAD-WEARABLE AUDIO DEVICE simplified abstract

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GESTURE RECOGNITION, ADAPTATION, AND MANAGEMENT IN A HEAD-WEARABLE AUDIO DEVICE

Organization Name

Microsoft Technology Licensing, LLC==Inventor(s)==

[[Category:Eran Chencinski of Giv'at Shmuel (IL)]]

[[Category:Shoham Dekel of Nes Ziona (IL)]]

[[Category:Shmuel Kaufman-fridman of Tel Aviv (IL)]]

GESTURE RECOGNITION, ADAPTATION, AND MANAGEMENT IN A HEAD-WEARABLE AUDIO DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17752120 titled 'GESTURE RECOGNITION, ADAPTATION, AND MANAGEMENT IN A HEAD-WEARABLE AUDIO DEVICE

Simplified Explanation

The patent application describes a head-wearable audio device with a motion sensor and capacitive touch sensor.

  • The motion sensor detects motion gestures and outputs motion parameter values.
  • The gesture type is recognized by comparing the motion parameter values with recognition parameter values.
  • An action is selected based on the recognized gesture type and executed by the device or a remote application.
  • The device also includes a capacitive touch sensor that detects touch events and outputs touch parameter values.
  • Gesture types can be recognized by comparing both motion and touch parameter values with recognition parameter values.
  • The recognition parameter values are improved over time using machine learning and historical data.
  • This innovation allows for hands-free control of the audio device through motion and touch gestures.


Original Abstract Submitted

A head-wearable audio device has a motion sensor that outputs motion parameter values based on a detected motion gesture. A gesture type is recognized by comparing the motion parameter values and per-user per-gesture-type recognition parameter values. An action is selected based on the selected gesture type and is executed by the head-wearable audio device or an application in a remote computing device. The head-wearable audio device may also include a capacitive touch sensor that detects capacitive touch events and outputs capacitive touch parameter values. A gesture type may be recognized by comparing both of detected motion parameter values and detected capacitive touch parameter values with per-user per-gesture-type recognition parameter values. The per-user per-gesture-type recognition parameter values are improved over time using machine learning and/or automated logic based on historical detected motion or capacitive touch parameters and corresponding selected gestures, or user profile data.

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