Abstract
Audio-coupled haptics (ACH) is realized via temporal synchronization of haptic feedback with an audio cadence to deliver an immersive, multi-channel tactile experience. ACH waveforms are tailored to the characteristics of a particular actuator and are usually not optimized when applied to subsequent generations or devices with different actuators. This disclosure describes techniques that ensure that legacy audio-coupled waveforms deliver a boosted and optimized user experience across diverse devices. A measure is defined that can reliably compare frequency response curves for different actuators, enabling refinement of ACH parameters. Given a certain ACH waveform, a scalable procedure identifies its piecewise linear envelope (PWLE) and its short effects. The short effects are temporarily excised, and the PWLE is translated to the specific characteristics (e.g., resonant frequency) of the target actuator. The short effects are re-introduced at the same timings as they appear in the original ACH waveform in the form of primitives designed for the target actuator. The techniques extend the usability of designed waveforms to diverse devices and provide a consistent, comparable user sensation regardless of the underlying actuator. The techniques can be applied to any device with an ACH feature, such as a smartphone, a game controller, a wearable computer, etc.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tseng, Jian-Zhi; Ian, Leonard; and Wang, Jianxun, "Automatic Refinement of Audio-Coupled Haptic Waveforms", Technical Disclosure Commons, (December 21, 2025)
https://www.tdcommons.org/dpubs_series/9064