AI-Based Haptic Feedback Generation for Consistent Device Vibration
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Solution Overview
Problem
Existing methods for generating haptic feedback effects in devices like mobile phones and smart watches require significant manual effort from audio designers, leading to inefficiencies and variability in results.
Innovation Solution
A method utilizing artificial intelligence to map audio and video data into haptic feedback information, involving data cutting, manual labeling, training, and network coefficient optimization to generate optimized haptic feedback effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used to generate haptic feedback effects, then the haptic feedback effect can be customized, but the process is time-consuming and requires high skill levels
Solution Approach 1:
The patent replaces the manual mechanical process of creating haptic feedback effects with an AI-based automated system. The AI model automatically processes audio and video data to generate haptic feedback effects, eliminating the need for manual conversion operations and significantly reducing time consumption while maintaining customization capabilities.
Solution Approach 2:
The system enables self-service by allowing the AI model to automatically generate haptic feedback effects without requiring skilled operators. The automated process handles the entire workflow from audio/video input to haptic feedback output, making the system accessible to users without specialized knowledge.
2Manufacturing precision
If manual operation is used to generate haptic feedback effects, then the haptic feedback effect can be customized, but the results vary greatly from one person to another
Solution Approach 1:
The patent replaces variable manual operations with a consistent AI-based system. The AI model provides standardized processing and generation algorithms that ensure uniform results across different users and sessions, eliminating the variability inherent in manual operations while maintaining the ability to customize effects through automated parameter adjustment.
3Productivity
If AI automation is used to generate haptic feedback effects, then manual operations are reduced, but the system complexity increases
Solution Approach 1:
The patent segments the complex AI-based haptic feedback generation system into distinct functional modules: data processing module, AI model inference module, and haptic feedback output module. This segmentation allows the system to achieve high productivity through automation while managing complexity through modular architecture, where each module handles specific tasks independently.
Data Source
AI summary
Provided are a method and a system for generating a haptic feedback effect, and a related device. The method includes: acquiring a training dataset comprising a video information and an audio information; performing a data cutting on the training dataset to obtain cut data; mapping the cut data into a haptic feedback information using a preset artificial intelligence according to a network coefficient; and outputting a haptic feedback effect according to the haptic feedback information. Compared with related art, the method for generating the haptic feedback effect of the present application incorporates the generation of haptic feedback information based on the artificial intelligence, so that manual operations are reduced during the generation process of haptic feedback effect, and the network coefficients are optimized to obtain the desired haptic feedback effect based on the pre-existing artificial results as the training set, thereby improving the vibration feedback experience in practical applications.