View source for AAC Acoustic Technologies (Shanghai) Co., Ltd. (20240231497). HAPTIC FEEDBACK METHOD, SYSTEM AND RELATED DEVICE FOR MATCHING SPLIT-TRACK MUSIC TO VIBRATION simplified abstract

=HAPTIC FEEDBACK METHOD, SYSTEM AND RELATED DEVICE FOR MATCHING SPLIT-TRACK MUSIC TO VIBRATION=


==Organization Name==

[[:Category:AAC Acoustic Technologies (Shanghai) Co., Ltd.|AAC Acoustic Technologies (Shanghai) Co., Ltd.]]


[[Category:AAC Acoustic Technologies (Shanghai) Co., Ltd.]]

==Inventor(s)==

[[:Category:Zengyou Meng of Shanghai (CN)|Zengyou Meng of Shanghai (CN)]][[Category:Zengyou Meng of Shanghai (CN)]]

[[:Category:Mengya Cao of Shanghai (CN)|Mengya Cao of Shanghai (CN)]][[Category:Mengya Cao of Shanghai (CN)]]

[[:Category:Shiyu Pei of Shanghai (CN)|Shiyu Pei of Shanghai (CN)]][[Category:Shiyu Pei of Shanghai (CN)]]

[[:Category:Yajun Zheng of Shanghai (CN)|Yajun Zheng of Shanghai (CN)]][[Category:Yajun Zheng of Shanghai (CN)]]

==HAPTIC FEEDBACK METHOD, SYSTEM AND RELATED DEVICE FOR MATCHING SPLIT-TRACK MUSIC TO VIBRATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240231497 titled 'HAPTIC FEEDBACK METHOD, SYSTEM AND RELATED DEVICE FOR MATCHING SPLIT-TRACK MUSIC TO VIBRATION

'''Simplified Explanation:'''
This patent application describes a method, system, and device for matching split-track music to vibration feedback, enhancing the synchronization between audio and haptic sensations.

* Acquiring raw audio data
* Splitting the raw audio data into multiple split-track audio data using a deep learning model
* Calculating energy proportions for each split-track audio data
* Determining weights for each split-track audio data based on energy proportions
* Performing weighting calculations on the split-track audio data to generate a time-frequency spectrum
* Generating vibration signals based on the time-frequency spectrum to match the raw audio data
* Outputting haptic feedback effects based on the matched vibration signals

'''Key Features and Innovation:'''
- Utilization of deep learning models for splitting audio data
- Calculation of energy proportions to determine the importance of each split-track audio data
- Weighting calculations based on predetermined rules to enhance synchronization
- Generation of vibration signals to match audio data for precise haptic feedback

'''Potential Applications:'''
- Gaming industry for immersive gameplay experiences
- Virtual reality and augmented reality applications for enhanced sensory feedback
- Music production for creating interactive music experiences
- Rehabilitation and therapy for sensory stimulation

'''Problems Solved:'''
- Lack of precise synchronization between audio and haptic feedback
- Limited options for matching vibration to specific cadences and rhythms in music
- Difficulty in creating immersive sensory experiences

'''Benefits:'''
- Enhanced user experience with synchronized audio and haptic feedback
- Improved immersion in virtual environments
- Precise matching of vibration to music cadences for a more engaging experience

'''Commercial Applications:'''
Title: Enhanced Haptic Feedback System for Audio-Visual Entertainment
This technology can be utilized in gaming consoles, virtual reality headsets, and music production software to provide users with a more immersive and engaging experience. The market implications include increased demand for sensory feedback technologies in entertainment and therapeutic applications.

'''Questions about Haptic Feedback Matching Technology:'''
1. How does this technology improve user engagement in virtual reality experiences?
2. What are the potential applications of this innovation in the music industry?

'''Frequently Updated Research:'''
Researchers are continually exploring new ways to enhance the synchronization between audio and haptic feedback to create more realistic and immersive sensory experiences. Stay updated on the latest advancements in haptic technology for audio-visual entertainment.


==Original Abstract Submitted==

a haptic feedback method, system and related device for matching split-track music to vibration are provided. the method includes: acquiring raw audio data; obtaining multiple split-track audio data by splitting the raw audio data by using a predetermined deep learning model; calculating an energy proportion corresponding to a respective split-track audio data in the raw audio data; determining a weight of the respective split-track audio data according to the energy proportion; performing weighting calculation on the multiple split-track audio data according to a predetermined weighting rule, to obtain a time-frequency spectrum; generating a matched vibration signal corresponding to the raw audio data based on the time-frequency spectrum; and outputting a haptic feedback effect according to the matched vibration signal. the audio data can be matched to vibration, and a vibration feedback that more precisely matches cadences and rhythms of the audio data can be output.



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