AI Dance Performance Scoring Using Video and Audio Analysis
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Solution Overview
Problem
Dance competitions often rely on subjective human judgments, leading to biased and unfair evaluations that undermine the integrity of the competitions, lacking objective and comprehensive feedback for dancers.
Innovation Solution
A system and method using artificial intelligence to evaluate dance performances through video and audio signals, assessing technical proficiency, artistic expression, musicality, choreography, costume and set design, and individual style, with a weighted linear combination to generate an overall score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple human judges are used to evaluate dance performance, then comprehensive evaluation coverage is improved, but subjectivity and bias increase
Solution Approach 1:
The patent introduces an AI-based evaluation system as an intermediary between the dance performance and the final scoring. This intermediary processes video and audio signals objectively, reducing human bias while maintaining comprehensive evaluation coverage across multiple dance aspects.
Solution Approach 2:
The patent replaces the mechanical system of human judgment with an AI-based automated evaluation system. This substitution eliminates human subjectivity and bias while maintaining the ability to evaluate multiple aspects of dance performance comprehensively.
2Measurement precision
If AI-based evaluation is implemented, then objectivity is improved, but system complexity increases
Solution Approach 1:
The patent creates a multi-functional AI evaluation system that handles video processing, audio processing, movement analysis, and scoring generation within a single integrated platform. This universality manages system complexity by consolidating multiple functions rather than requiring separate systems for each evaluation aspect.
Solution Approach 2:
The AI evaluation system is designed to autonomously process dance performances without requiring complex manual configuration or intervention. The system self-manages the evaluation process from data collection to score generation, reducing the operational complexity burden on users.
3Measurement precision
If comprehensive dance aspects are evaluated, then evaluation quality is improved, but evaluation time increases
Solution Approach 1:
The patent implements continuous automated processing of dance evaluation data by the AI system. Unlike manual evaluation that requires sequential review of different aspects, the AI system simultaneously and continuously analyzes all dance aspects, maintaining high evaluation quality while significantly reducing total evaluation time.
Solution Approach 2:
The patent transforms the evaluation process from manual parameter assessment to automated parameter analysis. The AI system rapidly processes multiple evaluation parameters (technical proficiency, artistic expression, musicality, etc.) in parallel, maintaining comprehensive quality assessment while dramatically reducing the time required compared to sequential human evaluation.
Data Source
AI summary
A dance performance may be evaluated by comparing video and audio of the performance to dance evaluation data in order to assess scores for: technical proficiency based on a quality of each dance move in the performance; artistic expression based on a quality of a dancer's facial expressions, body language, and gestures; musicality and rhythm based on a comparison of dance moves in the video to sounds in the corresponding audio; and choreography based on a quality of a storytelling, emotional expression, and visual impact of the performance. A costume and set design score may be assessed based on a quality of style, creativity and uniqueness of the costumes and sets of the performance; and an individual style score may be assessed based on a quality of a dancer's individuality. A total score for the performance may be calculated based on the assessed scores and the scores may be displayed.