Gesture Interaction Authentication via Motion-Track Matching

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Solution Overview

Problem

Conventional human-machine interaction methods face challenges in authenticating the validity of gesture actions and user identity, particularly when multiple users perform gestures simultaneously, leading to ineffective control and potential privacy issues with facial recognition.

Innovation Solution

A method and apparatus that utilize a mobile terminal's motion sensor to track its movement in conjunction with an optical sensor on an object device to authenticate gesture actions, ensuring a match between motion track information and gesture action information to validate user controls, thereby avoiding interference from invalid users and reducing the need for facial recognition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If facial recognition technology is used to authenticate gesture actions, then user identity validation is improved, but privacy protection deteriorates and reliability reduces when user is far away

Engineering Contradiction:

Improveauthentication reliabilityVSAvoidprivacy infringement

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the authentication process from facial recognition and separates it into two independent components: motion track detection by mobile terminal and gesture recognition by optical sensor. This extraction eliminates the need for facial recognition while maintaining authentication capability through motion-gesture matching.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces motion track information as an intermediary element that bridges the mobile terminal and the optical sensor. The motion track serves as a mediator that links the physical movement of the terminal with the gesture performance, enabling authentication without direct facial recognition.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If only gesture action is detected by optical sensor, then ease of operation is improved, but reliability deteriorates due to inability to distinguish valid user from invalid user

Engineering Contradiction:

Improvegesture operation convenienceVSAvoiduser identity authentication

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent merges two detection systems: the mobile terminal's motion sensor for tracking terminal movement and the optical sensor for recognizing gestures. By combining these two independent detection results and matching them, the system achieves both ease of gesture operation and reliable user authentication.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system uses feedback from the motion sensor to verify the authenticity of gesture actions. The motion track information provides feedback that confirms whether the gesture was performed by the legitimate user holding the terminal, thereby validating the gesture control.

Inventive Principle:

Principle #23Feedback

3Reliability

If motion sensor and optical sensor are combined for authentication, then reliability is improved, but device complexity increases

Engineering Contradiction:

Improvegesture authentication reliabilityVSAvoidsensor system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The mobile terminal uses its own motion sensor to generate motion track information that serves the authentication process. The terminal essentially serves itself by providing motion data that complements the optical sensor's gesture recognition, reducing the need for additional dedicated hardware in the object device.

Inventive Principle:

Principle #25Self-service

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 approach ensures reliable and effective human-machine interaction by validating gesture actions based on matched motion and gesture information, preventing interference from invalid users and addressing privacy concerns associated with facial recognition.

Implementation Method 1

obtaining motion track information of a mobile terminal, where the motion track information is obtained by using a motion sensor of the mobile terminal

Methodology Applied

Scientific EffectMotion sensing: Accelerometer

Implementation Method 2

obtaining first gesture action information of a user, where the first gesture action information is obtained by using an optical sensor of an object device that interacts with the user

Methodology Applied

Scientific EffectOptical detection: Photoelectric Effect

Data Source

PatentUS12443285B2Human-machine interaction method and human-machine interaction apparatus

Publication Date: 2025.10.14 YINWANG INTELLIGENT TECHNOLOGIES CO LTD

AI summary

This application provides a human-machine interaction method and the like. In one aspect, gesture action information of the user is detected by using an optical sensor of the object device; motion track information of the mobile terminal is detected by using a motion sensor of the mobile terminal. When the gesture action information matches the terminal motion track information, corresponding first control is executed.