Haptic Signal Generation Using Audio Time-Frequency Pattern Matching
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Solution Overview
Problem
Existing haptic technologies require significant time, effort, and cost to implement tactile information in content, and existing methods for converting audio signals to haptic signals do not effectively utilize the pattern of time and frequency, often generating unwanted haptic signals from background noise or human voice.
Innovation Solution
A method and device that analyze audio signals to generate signal patterns in time and frequency bands, compare these patterns with target patterns, and produce haptic signals only when a matching rate exceeds a threshold, thereby reducing unwanted haptic outputs and enhancing user input responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio signal is converted to haptic signal using existing methods (time domain or frequency domain analysis with filters), then haptic signal can be generated from audio signal, but unwanted haptic signals are generated from background noise or human voice
Solution Approach 1:
The patent extracts and utilizes the inherent time-frequency pattern information already present in the audio signal itself, rather than applying external filter-based transformations. By analyzing the original signal's temporal and spectral characteristics directly, the system identifies meaningful patterns while naturally filtering out background noise and unwanted components that do not match the detected patterns.
Solution Approach 2:
The system employs a feedback mechanism where the detected audio signal pattern is used to generate a haptic signal that provides tactile feedback to the user. This closed-loop approach allows the system to continuously monitor the audio input, adjust pattern detection based on detected features, and generate appropriate haptic responses only when meaningful patterns are identified, thereby avoiding unwanted haptic signals from noise.
2Manufacturing precision
If haptic technology is implemented by planting vibration patterns in content in advance, then specific tactile information can be provided, but significant time, effort, and cost are required
Solution Approach 1:
The system enables audio signals to automatically generate their own corresponding haptic patterns by analyzing their intrinsic time-frequency characteristics. This self-service approach eliminates the need for manual vibration pattern planting in content creation, as the haptic signal is autonomously derived from the audio signal's own features, significantly reducing time, effort, and cost while maintaining tactile information accuracy.
Solution Approach 2:
The patent transforms the approach from static pre-planted vibration patterns to dynamic haptic signals generated by analyzing variable parameters of the audio signal in real-time. By monitoring changes in time-domain and frequency-domain parameters, the system adaptively generates haptic patterns that correspond to the actual audio content, eliminating the need for time-consuming manual pattern insertion while preserving tactile information fidelity.
3Reliability
If pattern-based analysis of audio signal is used to generate haptic signal, then unwanted haptic signals are reduced, but complex pattern detection and comparison processes are required
Solution Approach 1:
The patent segments the audio signal analysis into distinct time-domain and frequency-domain components, allowing independent processing of different signal characteristics. This segmentation simplifies the overall complexity by breaking down the pattern detection task into manageable parts: extracting temporal features, extracting spectral features, and comparing them against stored patterns, rather than attempting to analyze the entire signal simultaneously.
Solution Approach 2:
The system adds a temporal dimension to the frequency analysis by examining how frequency characteristics evolve over time. This time-frequency approach transforms the problem from simple spectral analysis to a two-dimensional pattern recognition task, enabling more accurate discrimination of meaningful signals from noise while maintaining manageable complexity through structured comparison with pre-stored reference patterns.
Data Source
AI summary
The present invention relates to a haptic signal generating method including: generating a signal pattern consisting of a size of a signal for each time and frequency band by analyzing a received audio signal; comparing a target audio signal pattern and the generated signal pattern; and generating a haptic signal corresponding to the target audio signal pattern when a matching rate exceeds a threshold value as a result of the comparison, and when there is a specific audio signal desired to be output as a haptic signal among various audio signals, a specific audio signal pattern may be detected and an appropriate haptic signal may be connected to the detected specific audio signal pattern as an output.