Dynamic Music Creation via Emotion-Game Vector Mapping
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Solution Overview
Problem
Current music composition in games relies on pre-written snippets that are pieced together, making it difficult to create immersive and dynamic soundtracks that respond effectively to unpredictable gameplay, lacking real-time emotional adaptation to player experiences and environments.
Innovation Solution
A mechanism that analyzes musical components and maps them to emotional components, using machine learning to create dynamic music by assigning emotional markers to game elements and player data, allowing for real-time adaptation and intuitive control through physical faders or virtual interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-written music snippets are pieced together like puzzle pieces, then music composition is simplified and manageable, but the music cannot dynamically respond to unpredictable gameplay and lacks real-time emotional adaptation
Solution Approach 1:
The patent implements dynamic music composition by allowing music parameters (tempo, instrumentation, harmony, melody) to change in real-time based on gameplay events and player emotions. Instead of static pre-written snippets, the system generates and adapts music dynamically during gameplay, enabling the soundtrack to respond to unpredictable player actions and environmental changes while maintaining compositional control through parameter-based adjustments
2Adaptability or versatility
If machine learning is used to generate music based on training sets, then real-time emotional adaptation is achieved, but the system complexity and computational requirements increase
Solution Approach 1:
The patent segments the music composition system into distinct modular components: emotional state detection module, music parameter selection module, and audio synthesis module. Each module performs a specific function - detecting player emotions through biometric data, selecting appropriate music parameters based on emotional state and gameplay context, and synthesizing the final soundtrack. This segmentation reduces overall system complexity by making each component independent and manageable while enabling sophisticated real-time emotional adaptation through their coordinated interaction
Solution Approach 2:
The patent introduces an intermediary emotional state representation layer that bridges biometric sensor data and music generation parameters. Instead of directly mapping complex biometric data to music parameters, the system first processes this data into simplified emotional state categories (e.g., calm, excited, scared), which then serve as intermediaries for selecting music parameters. This intermediary layer reduces computational complexity by abstracting the relationship between raw sensor data and music control parameters
3Ease of operation
If physical faders are used for mapping emotions to scenarios, then the mapping process becomes more intuitive and visceral, but the device complexity and cost increase
Solution Approach 1:
The patent implements virtual faders as a digital copy of traditional physical mixing console controls within the software interface. These virtual faders replicate the tactile and visual experience of physical controls, allowing composers to drag and adjust sliders on-screen to map emotional parameters to gameplay scenarios. This virtual copying provides the same intuitive, visceral control as physical faders without requiring additional hardware, thereby maintaining ease of operation while avoiding increased device complexity and cost
Data Source
AI summary
A method and system for dynamic music creation is disclosed. An emotion is assigned to one or more musical motifs according to type of character, musical composition component, or scene and a game vector is associated with the emotion. The group of one or more musical motifs is mapped to the game vector based on the emotion. A musical composition is generated based on the game vector and desired emotions.