Gesture-Based AR/XR Interface With Staged Low-Power Processing

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Solution Overview

Problem

Existing smart glasses suffer from short battery life, heat dissipation issues, and discomfort due to the use of commodity components optimized for handheld devices, which are inefficient and unsuitable for continuous wear, and lack intuitive gesture-based interaction methods.

Innovation Solution

A scalable power management system utilizing customized processors and staged gesture detection to reduce power consumption by conditional processing stages, leveraging eye-tracking and forward-facing cameras to detect user interactions before enabling full processing, and using in-sensor machine learning for efficient image processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Duration of action of moving object

If commodity components optimized for handheld devices are used in smart glasses, then device functionality is achieved, but battery life is short and heat dissipation is poor

Engineering Contradiction:

Improvebattery lifeVSAvoidpower consumption

Core Design Contradiction:

Duration of action of moving objectVSUse of energy by moving object

Solution Approach 1:

The processing system is divided into multiple stages: a first processor handles basic functions and simple gestures, while a second processor handles complex gesture recognition and processing. This segmentation allows the system to use only the necessary processing power for each task, significantly reducing overall power consumption and extending battery life.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts processing resources based on task requirements. The first processor can handle routine operations independently, and only activates the second processor when complex gestures are detected. This dynamic resource allocation optimizes power consumption across different operational states.

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If full processing is continuously enabled, then gesture detection accuracy is high, but power consumption increases and comfort decreases

Engineering Contradiction:

Improvegesture detection accuracyVSAvoiduser comfort

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The first processor continuously monitors for gesture indicators in advance, preparing the system for complex processing only when necessary. This preliminary detection stage filters out unnecessary full-processing activations, maintaining accuracy while reducing power consumption and improving comfort.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Different processing qualities are applied to different tasks: simple monitoring is performed continuously by the first processor, while full processing power is reserved for complex gesture recognition. This localized quality approach ensures high accuracy when needed without continuously consuming maximum power.

Inventive Principle:

Principle #3Local quality

3Use of energy by moving object

If customized processors are used, then power consumption is reduced, but device complexity increases

Engineering Contradiction:

Improvepower consumptionVSAvoidprocessing system complexity

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

Inventive Principle:

Principle #1Segmentation

4Ease of operation

If gesture-based interaction is implemented, then user experience is enhanced, but processing requirements and power consumption increase

Engineering Contradiction:

Improveuser experienceVSAvoidprocessing power

Core Design Contradiction:

Ease of operationVSPower

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20260044218A1Systems, apparatus, and methods for gesture-based augmented reality, extended reality

Publication Date: 2026.02.12 SOFTEYE INC

AI summary

Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.