Adaptive Haptic Signal Generation via Frequency-Dependent Gain Control
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Solution Overview
Problem
Existing haptic technologies require significant time, effort, and cost to implement tactile information in content lacking it, and struggle to achieve a high hit rate when converting audio signals into haptic signals, especially with varied audio input types, often resulting in undesired haptic events.
Innovation Solution
An adaptive haptic signal generating device that includes a frequency analysis unit, a frequency equalizer, a haptic event extraction unit, and a control unit to analyze and process audio signals in real-time, suppressing or amplifying specific frequency intervals, extracting haptic events, and adjusting thresholds and gains based on event frequency counts to generate desired haptic signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a simple algorithm is used to convert audio signal into haptic signal, then the conversion process is fast and simple, but the hit rate of generating desired haptic signals is low and undesired haptic events occur frequently
Solution Approach 1:
The patent implements a feedback mechanism where the system counts the number of times haptic events are generated for each frequency band. Based on this counting result, the system adaptively adjusts the gain of frequency bands and thresholds to optimize haptic signal generation. This feedback loop enables the system to learn from previous conversions and improve the hit rate while maintaining efficient processing.
Solution Approach 2:
The patent makes the haptic signal generation system dynamic by allowing threshold and gain values to change adaptively based on the counting results. Instead of using fixed thresholds, the system dynamically adjusts them according to the frequency-specific event generation counts, enabling optimal performance across different audio contents without manual reconfiguration.
2Ease of operation
If fixed threshold values are used for haptic event extraction, then the processing is simple and fast, but the system cannot adapt to different types of audio input contents
Solution Approach 1:
The patent enables the system to serve itself by automatically analyzing audio signal characteristics and adjusting its own threshold and gain parameters based on the counting results. The system performs self-adaptation without requiring external intervention or manual tuning, making it versatile across different audio types while maintaining operational simplicity.
Solution Approach 2:
The patent changes the parameters (thresholds and gains) of the haptic signal generation system based on the analyzed audio characteristics and event generation counts. This dynamic parameter adjustment allows the system to adapt to various audio input types while keeping the underlying processing framework simple and efficient.
3Ease of operation
If manual adjustment of haptic effect parameters is required, then the user can customize the haptic experience, but the operation becomes complex and time-consuming
Solution Approach 1:
The patent eliminates the need for manual user adjustment by implementing an automatic system that analyzes audio characteristics and optimizes haptic parameters on its own. The counting-based adaptive mechanism performs what would otherwise require manual tuning, saving user time while maintaining the ability to generate customized haptic experiences appropriate for different audio contents.
4Reliability
If all sound events are connected to haptic events, then no haptic information is lost, but undesired haptic events are generated frequently
Solution Approach 1:
The patent applies different processing qualities to different frequency bands by counting haptic events separately for each frequency and adjusting gains selectively. This local quality approach allows the system to enhance important haptic events while suppressing undesired ones in specific frequency ranges, rather than applying uniform processing to all sound events.
Solution Approach 2:
The patent changes the threshold parameter dynamically based on frequency-specific event counts, allowing the system to selectively connect sound events to haptic events. By adjusting thresholds adaptively for different frequency bands, the system maintains haptic information completeness for important events while filtering out undesired haptic events through intelligent parameter modification.
Data Source
AI summary
The present invention relates to an adaptive haptic signal generating device, which includes: a frequency analysis unit converting and analyzing a received audio signal into a frequency domain; a frequency equalizer unit suppressing or amplifying a specific frequency interval of the audio signal converted into the frequency domain; a haptic event extraction unit extracting a haptic event signal corresponding to a case of a specific threshold or more in the suppressed or amplified frequency domain; a haptic signal generation unit generating a haptic signal corresponding to the haptic event signal; and a control unit counting the number of generation times of the extracted haptic event signal for each frequency, and increasing a frequency gain of a frequency corresponding to a haptic event signal which is generated at a predetermined number of times or more.