Mobile Music Controller for Portable Performance Tracking
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Solution Overview
Problem
Current music tracking and analysis technologies are inadequate for traveling musicians and music students, as they lack portable and effective equipment for capturing musical performances and providing meaningful feedback.
Innovation Solution
A mobile music controller device that receives and processes musical data, generates metadata, and provides analytics, featuring hardware components for audio input, sensor integration, and software tools for metadata generation and analysis, connected via a network for cloud-based data management and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional music recording equipment is used, then music performance tracking capability is improved, but portability and ease of transport deteriorate
Solution Approach 1:
The patent combines multiple functions (audio recording, video recording, accelerometer-based performance tracking, and analytics generation) into a single mobile device that musicians can carry. This merging of previously separate recording equipment, sensors, and analysis tools into one portable unit resolves the contradiction by maintaining comprehensive music performance tracking capability while significantly improving portability.
Solution Approach 2:
The mobile device performs multiple functions simultaneously: it records audio, records video, tracks performance metrics via accelerometer, generates analytics, and provides feedback. This multi-functionality allows a single portable device to replace traditional bulky recording equipment while maintaining comprehensive music performance tracking capabilities.
2Loss of information
If comprehensive music performance analysis is provided, then learning guidance quality is improved, but device complexity and processing requirements worsen
Solution Approach 1:
The system provides feedback by analyzing recorded performance data and generating actionable analytics that guide musicians in improving their technique. The accelerometer data is processed to provide specific feedback on performance metrics, creating a closed-loop system that continuously improves learning guidance quality while managing complexity through automated analysis algorithms.
Solution Approach 2:
The device automatically processes and analyzes performance data without requiring external complex equipment. The integrated system self-manages the entire workflow from data collection via accelerometer and audio sensors to analytics generation, reducing the need for additional complex external processing equipment while maintaining high learning guidance quality.
Data Source
AI summary
Techniques are described herein for tracking and analyzing musical activity (e.g., musical performances) captured by a music controller device. Data indicative of a musical performance by an individual is received. Metadata characterizing the musical data is generated. One or more analytics of the musical data is generated based, at least in part, on the metadata.