CGR Virtual Interaction Feedback Coordination Through Predictive Quantization
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Solution Overview
Problem
Existing music processing systems and CGR environments face challenges in achieving effective and timely quantization of live musical performances and synchronization of feedback with virtual interactions due to hardware and transmission delays.
Innovation Solution
A method and system for predictive quantization of virtual instrument interactions in CGR environments, which involves obtaining user movement information, generating a predicted virtual interaction time, and synchronizing feedback devices to match temporal sound markers, thereby coordinating feedback with the virtual interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If feedback is delivered after virtual interaction occurrence, then feedback can be generated based on actual interaction data, but feedback arrives late causing poor synchronization with the virtual interaction
Solution Approach 1:
The system performs preliminary action by predicting the virtual interaction time before the interaction actually occurs. The coordination engine uses obtained interaction data and predetermined latency information to calculate when the feedback should be initiated, allowing feedback preparation and early delivery that compensates for system latency and achieves better synchronization with the virtual interaction.
2Reliability
If multiple feedback devices are used, then feedback coordination becomes more comprehensive, but determining initiation times for each device becomes more complex
Solution Approach 1:
The coordination engine uses feedback principles by continuously monitoring the virtual interaction occurrence and comparing it with predicted timing. The system obtains interaction data, predicts interaction times, calculates initiation times based on predetermined latency, and adjusts feedback delivery to achieve coordination. This closed-loop approach manages multiple feedback devices systematically despite the complexity.
3Measurement precision
If quantization is applied to match temporal sound markers, then musical timing precision is improved, but the system must determine acceptable temporal ranges and make quantization decisions
Solution Approach 1:
The system applies parameter changes by adjusting the temporal parameters of feedback delivery to match musical timing requirements. The coordination engine determines acceptable temporal ranges around temporal sound markers and quantizes feedback initiation times to align with these markers. This changes the timing parameters dynamically to achieve musical precision while managing the complexity through systematic parameter adjustment.
Data Source
AI summary
In some implementations, a method includes: obtaining user movement information characterizing real-world body pose and trajectory information of the user; generating a predicted virtual interaction time for a virtual interaction based at least in part on a placement of the CGR item in the CGR environment and the user movement information prior to the virtual interaction occurring; determining a first initiation time for a first feedback device among the one or more feedback devices based at least in part on the predicted virtual interaction time and a first predetermined latency period associated with the first feedback device; and initiating at the first initiation time, by the device, first feedback from the first feedback device in order to satisfy a performance criterion that corresponds to the virtual interaction with the CGR item.