Inverse Capacitive Touch Sensing on Headset Arms

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Solution Overview

Problem

Smart headsets face challenges in communicating user commands due to the lack of surface area for touch screens and the added weight and cost of dedicated user interfaces like touch pads.

Innovation Solution

Incorporating a capacitive touch sensor on the inside surface of the headset arm, coupled with a microprocessor configured as a convolutional neural network (CNN) to detect and distinguish user gestures on the outside surface without the need for additional hardware.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a touch screen is added to the headset, then user input capability is improved, but the surface area requirement cannot be met due to limited headset surface area

Engineering Contradiction:
Improveuser input capabilityVSAvoidheadset surface area
Core Design Contradiction:
Ease of operationVSArea of stationary object

Solution Approach 1:

The patent applies inverse capacitive touch sensing by placing the capacitive sensor on the inside surface of the headset arm while detecting touches on the outside surface. This inversion allows the sensor to detect gestures through the headset material, effectively utilizing the limited surface area for user input without requiring additional surface space.

Inventive Principle:
Principle #13The other way round (Inversion)

2Ease of operation

If a dedicated user interface such as a touch pad is added, then user input capability is improved, but weight and cost increase

Engineering Contradiction:
Improveuser input capabilityVSAvoidheadset weight
Core Design Contradiction:
Ease of operationVSWeight of moving object

Solution Approach 1:

The patent makes the headset arm structure multi-functional by integrating capacitive sensing capability into the existing arm material. The arm serves both its structural purpose and as a touch detection surface, eliminating the need for separate touch pad hardware and reducing overall weight.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the touch sensing function with the existing headset arm structure. By embedding capacitive sensors in the arm and utilizing the arm material itself as part of the sensing mechanism, the design combines structural and input functions into a single integrated component.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If a dedicated user interface such as a touch pad is added, then user input capability is improved, but manufacturing complexity and cost increase

Engineering Contradiction:
Improveuser input capabilityVSAvoidheadset manufacturing complexity
Core Design Contradiction:
Ease of operationVSEase of manufacture

Solution Approach 1:

The patent merges the touch sensing function with the existing headset arm structure. By embedding capacitive sensors in the arm and utilizing the arm material itself as part of the sensing mechanism, the design combines structural and input functions into a single integrated component, simplifying manufacturing.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution enables efficient user input on AR/VR headsets by accurately detecting and differentiating between gestures like taps and swipes, providing a sufficient user interface without increasing weight or cost.

Implementation Method 1

a capacitive touch sensor coupled to an inside surface of the headset frame

Methodology Applied
Scientific EffectCapacitance: Capacitance

Data Source

PatentUS20250036229A1Inverse capacitive touch sensing on a headset
Publication Date: 2025.01.30 GOOGLE LLC
  • US20250036229A1 patent drawing
  • US20250036229A1 patent drawing
  • US20250036229A1 patent drawing

AI summary

A headset in the form of glasses for use in creating an augmented reality experience is implemented with a capacitive smart sensor disposed on an inside surface of an arm of the glasses. The capacitive smart sensor can be trained, using a neural network, to identify and distinguish different gestures associated with a touch event on an outside surface of the arm of the glasses. The smart sensor thus transforms the headset into a user input device without adding a touch pad.