Scale-Responsive Haptic Feedback With Self-Sensing Conductive Traces

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Solution Overview

Problem

Haptic feedback systems face challenges in dynamically adjusting to changes in medium size or shape, leading to altered standing waves, lack of awareness of medium alterations, and human error in data entry, which degrade user experience and effectiveness.

Innovation Solution

A system with sensors and adaptive circuitry detects medium changes, using AI to optimize haptic feedback parameters like amplitude and wavelength, ensuring consistent and personalized tactile experiences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If haptic feedback is dynamically adjusted in response to medium size changes, then user experience is improved, but the system complexity increases due to sensors, circuitry, and processing requirements

Engineering Contradiction:

Improveadaptability to medium size changesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses the medium itself as the sensor medium - the medium's physical properties (conductive traces, cuttable regions) directly detect size changes without requiring separate sensing components. The medium essentially senses its own dimensions, eliminating the need for external sensors and reducing system complexity while maintaining adaptability.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The conductive traces serve multiple functions: they provide electrical connectivity within the medium and simultaneously act as sensors for detecting size changes. The cuttable regions both define the medium's geometry and provide detection points for size alteration. This multi-functionality reduces the number of separate components needed.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If real-time detection of medium changes is implemented, then haptic feedback accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvedetection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system continuously monitors the conductive traces in a ready state, prepared to immediately detect and respond to size changes. The processing system is pre-configured with the trace patterns and cuttable region information, enabling rapid analysis without delay when changes occur.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces complex mechanical or optical sensing mechanisms with electrical signal analysis of conductive traces. This substitution enables faster, more efficient detection with lower processing overhead compared to traditional mechanical measurement methods.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If AI models are used to predict optimal haptic adjustments, then feedback optimization is improved, but device complexity and energy consumption increase

Engineering Contradiction:

Improvefeedback optimizationVSAvoidenergy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system uses a simplified AI prediction model that processes only the essential input data (trace patterns and cuttable region configurations) rather than analyzing all possible medium states. This partial action approach provides sufficient optimization with reduced computational load and energy consumption.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system creates a digital representation (copy) of the medium's physical state through the conductive trace patterns and cuttable region data. This digital model enables AI-based prediction and optimization without requiring continuous physical measurement or complex real-time simulation, reducing energy requirements.

Inventive Principle:

Principle #26Copying

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

The system provides real-time, adaptive haptic feedback that maintains optimal stimulation across varying medium sizes and shapes, reducing human error and enhancing user satisfaction.

Implementation Method 1

optimize a frequency of a haptic harmonic that generates a standing wave on a haptic actuator proximate to the medium

Methodology Applied

Scientific EffectStanding wave:

Data Source

PatentUS20250284339A1System and method for providing scale-responsive dynamic haptic feedback

Publication Date: 2025.09.11 PROVA INNOVATIONS LTD

AI summary

A haptic feedback mechanism for a medium includes: a sensor disposed within the medium having a size; circuitry in communication with the sensor; conductive traces in communication with the circuitry, the traces having properties that alter when the size of the medium changes; and a processor configured to: determine changes in the size of the medium based on a unique pattern of the traces generated by the changes in the size of the medium, and optimize a frequency of a haptic harmonic that generates a standing wave on a haptic actuator proximate to the medium. A method for providing dynamic adjustment of haptic feedback for a medium includes: determining that a size of the medium has changed, thereby generating detected changes; and based on the detected changes, optimizing a frequency of a haptic actuator to produce a standing wave within at least a portion of the medium.