ERM Haptic Waveform Reproduction via Frequency Peak Extraction
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Solution Overview
Problem
Existing haptic feedback systems struggle to effectively replicate complex haptic waveforms intended for linear haptic devices using eccentric rotating mass (ERM) haptic devices due to latency and frequency response differences.
Innovation Solution
The method involves obtaining a provided haptic waveform, converting it using a Fourier transform to identify frequency peaks, and driving an ERM haptic device based on these frequency peaks, allowing for effective replication of haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a provided haptic waveform intended for linear haptic devices is directly used with ERM haptic devices, then the waveform can be reproduced, but the reproduction accuracy deteriorates due to latency and frequency response differences
Solution Approach 1:
The patent transforms the provided haptic waveform from the time domain to the frequency domain using Fourier transform, identifying dominant frequency peaks. This parameter transformation allows the system to adapt waveforms designed for linear haptic devices to work effectively with ERM haptic devices by matching frequency characteristics rather than time-domain characteristics, resolving the contradiction between reproduction accuracy and waveform compatibility
Solution Approach 2:
The patent replaces direct time-domain waveform reproduction with a frequency-domain analysis approach. Instead of attempting to reproduce the exact time-domain signal which is incompatible with ERM devices, the system substitutes this with frequency peak identification and synthesis, creating a new waveform that matches the ERM device's frequency response characteristics while preserving the essential haptic feedback intent
2Measurement precision
If Fourier transform is used to convert the haptic waveform and drive ERM device based on frequency peaks, then haptic feedback accuracy improves, but computational complexity increases
Solution Approach 1:
The patent extracts only the dominant frequency peaks from the full haptic waveform spectrum using Fourier transform. Instead of processing the entire frequency spectrum or attempting to reproduce all waveform characteristics, the system identifies and isolates the most significant frequency components that contribute to the haptic feedback sensation. This extraction approach maintains high frequency matching accuracy while significantly reducing computational complexity compared to full waveform processing
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 enables the ERM haptic device to accurately reproduce the intended haptic feedback, enhancing user immersion and feedback fidelity in applications such as video games and virtual environments.
Implementation Method 1
converting the provided haptic waveform with a Fourier transform to create a converted haptic waveform
Implementation Method 2
driving an eccentric rotating mass (ERM) haptic device at least partially according to the at least one frequency peak
Data Source
AI summary
A device may obtain a provided haptic waveform. A device may convert the provided haptic waveform with a Fourier transform to create a converted haptic waveform. A device may identify at least one frequency peak of the converted haptic waveform. A device may drive an eccentric rotating mass (ERM) haptic device at least partially according to the at least one frequency peak.


