Graphical Object Animation via Audio Spectral Frequency Analysis
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Solution Overview
Problem
Conventional systems for animating graphical objects in augmented reality (AR) and virtual reality (VR) fail to consider audio spectral frequencies, leading to suboptimal aesthetics and user experience, as they rely solely on amplitude variations and require manual input for desired motions.
Innovation Solution
An electronic device extracts spectral frequencies from audio and assigns predefined or learned motions to graphical objects based on these frequencies, generating motions such as rotation, linear, size expansion, or blurring to match the mood of the audio, using a graphical object motion controller and machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional systems use only amplitude variation for micromotions, then the implementation is simple, but the aesthetics and visual experience are degraded
Solution Approach 1:
The patent changes the parameters used for motion control from only amplitude variation to include both amplitude and spectral frequency characteristics. By analyzing different frequency ranges (bass, mid-range, treble) in the audio spectrum, the system assigns specific micromotions to graphical objects that match the audio mood, thereby improving aesthetics while maintaining automated operation.
2Manufacturing precision
If manual input is required for desired micromotions, then the visual experience can be optimized, but the operational complexity and time consumption increase
Solution Approach 1:
The system performs self-service by automatically analyzing audio spectral characteristics and generating appropriate micromotions without requiring manual user input. The electronic device extracts frequency information from the audio, determines suitable motion types based on frequency ranges, and applies them to graphical objects autonomously, thereby maintaining high visual experience quality while eliminating operational complexity.
3Manufacturing precision
If manual effort is required to make desired micromotions, then the motion quality can be controlled, but the productivity is reduced
Solution Approach 1:
The patent replaces the manual mechanical process of creating micromotions with an automated audio-based system. By substituting manual control with automatic spectral analysis and motion assignment algorithms, the system maintains motion control quality through frequency-based rules while dramatically improving productivity by eliminating manual intervention in the animation creation process.
Data Source
AI summary
A method for animating a graphical object by an electronic device is provided. The method includes receiving, by the electronic device, the graphical object having at least one predefined portion to animate. The method includes receiving, by the electronic device, an audio to obtain spectral frequencies of the audio. The method includes determining, by the electronic device, at least one of an intensity of the spectral frequencies and at least one range of the spectral frequencies. The method includes generating, by the electronic device, at least one motion on the at least one predefined portion of the graphical object based on the at least one of the intensity of the spectral frequencies and the at least one range of the spectral frequencies.