Wearable Gesture Threshold Adjustment for Biometric Variability

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Solution Overview

Problem

Existing wearable devices struggle to effectively guide and adjust gesture recognition thresholds based on user biometric information, leading to suboptimal performance and user experience.

Innovation Solution

An electronic device and method that includes a display for guiding reference gestures, identifying gestures out of a threshold range, and adjusting the threshold range based on user input, using sensors and processors to enhance gesture recognition accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fixed threshold ranges are used for gesture recognition, then device complexity is reduced, but gesture recognition accuracy deteriorates when user biometric information changes

Engineering Contradiction:
Improvegesture recognition accuracyVSAvoidthreshold adjustment mechanism complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements dynamic threshold ranges that automatically adjust based on user biometric information such as heart rate and body temperature. The threshold is no longer fixed but changes adaptively to match the user's physiological state, thereby maintaining high gesture recognition accuracy across different conditions without requiring complex manual calibration mechanisms

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system continuously monitors user biometric data and uses this feedback to adjust the gesture recognition thresholds in real-time. This closed-loop feedback mechanism ensures that the thresholds remain optimal despite changes in user physiology, resolving the contradiction between maintaining accuracy and avoiding complex adjustment mechanisms

Inventive Principle:
Principle #23Feedback

2Measurement precision

If gesture recognition thresholds are adjusted dynamically, then gesture recognition accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvegesture recognition accuracyVSAvoidprocessing and adjustment system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The gesture recognition system performs self-adjustment by automatically calibrating thresholds based on its own monitoring of user biometric information. The system serves itself by detecting physiological changes and autonomously modifying recognition parameters without requiring external intervention or complex control systems

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the operational parameters of the gesture recognition system by dynamically modifying threshold values based on biometric data. This parameter adaptation allows the system to maintain high accuracy across varying physiological conditions while using straightforward implementation logic that does not significantly increase device complexity

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If standard threshold ranges are used for all users, then ease of operation is maintained, but adaptability to individual user biometrics deteriorates

Engineering Contradiction:
Improveadaptation to user biometric informationVSAvoiduser setup and configuration simplicity
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically adapts to each user's biometric characteristics without requiring manual setup or configuration. It performs self-calibration by monitoring physiological data and adjusting thresholds accordingly, thereby achieving high adaptability while maintaining ease of operation as the process occurs automatically in the background

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary adaptation by pre-adjusting thresholds based on initial biometric scanning upon user enrollment. This preliminary action establishes personalized baseline thresholds that automatically accommodate individual user characteristics, eliminating the need for complex setup procedures while ensuring high adaptability from the first use

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250377731A1Electronic device and method for gesture recognition
Publication Date: 2025.12.11 SAMSUNG ELECTRONICS CO LTD
  • US20250377731A1 patent drawing
  • US20250377731A1 patent drawing
  • US20250377731A1 patent drawing

AI summary

According to an embodiment, a method performed by an electronic device includes displaying, via a display of the electronic device, a screen for guiding performance of a reference gesture via a part of body of a user on which a wearable device connected to the electronic device is worn. The method includes, while the screen is displayed, identifying that at least one value related to a gesture of the user, obtained via the wearable device, is out of a threshold range related to the reference gesture. The method includes, based on identifying that the at least one value related to the gesture of the user is out of the threshold range, displaying, via the display, a visual object for guiding to change the threshold range. The method includes, according to an input related to the visual object, changing the threshold range.