AI Hand Gesture Unlock Control Without Auxiliary Input Tools

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Solution Overview

Problem

Conventional gesture control systems focus on function-calling rather than controlling objects, affecting user experience, and most operations require auxiliary tools like a mouse, which can hinder intuitive control.

Innovation Solution

An electronic device equipped with an image capturing module and processing module that captures hand gestures, processes them using an AI model to generate hand landmarks, and controls device operations based on predefined gestures, including unlock and various functional actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional control systems use auxiliary tools like mice for operations, then device functionality can be achieved, but user experience and intuitiveness deteriorate

Engineering Contradiction:

Improveuser experienceVSAvoidauxiliary tools requirement

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces mechanical control devices (mouse, keyboard) with a gesture recognition system that uses image capturing and AI processing to detect hand movements. The image capturing module captures hand images, the processor generates hand landmarks through AI models, and translates gestures into control commands, eliminating the need for physical auxiliary tools while maintaining control functionality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If gesture control systems focus on function-calling, then operational capabilities are provided, but object control precision and user experience deteriorate

Engineering Contradiction:

Improvefunctional controlVSAvoidgesture recognition accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent segments the hand into multiple key points (hand landmarks) using AI processing. Instead of treating the hand as a single object, the system identifies specific anatomical points such as fingertips, knuckles, and wrist positions. This segmentation enables precise tracking of hand posture and movement, allowing accurate recognition of complex gestures and improving both object control precision and user experience.

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If hand gesture recognition is implemented, then intuitive control is achieved, but system complexity and processing requirements increase

Engineering Contradiction:

Improveintuitive controlVSAvoidcircuit structure

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent integrates multiple functions into a unified gesture control system. The image capturing module serves both as a camera for visual input and as a gesture sensing device. The processor performs multiple tasks including image processing, AI model inference for hand landmark generation, gesture recognition, and command translation. This multi-functionality reduces the need for separate dedicated components, managing system complexity while enabling intuitive hand gesture control.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260016906A1Electronic device

Publication Date: 2026.01.15 INNOLUX CORP

AI summary

An electronic device includes an image capturing module and a processing module. The image capturing module is configured to capture a hand to obtain a first hand image. The processing module is configured to receive the first hand image, process the first hand image through an artificial intelligence model to generate a first hand landmark, and control the electronic device to enter the unlock mode according to a first gesture corresponding to the first hand landmark.