Avatar Dance Education With Real-Time Pose Feedback
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Solution Overview
Problem
Existing online dance education systems lack real-time feedback and are limited in accessibility, making it difficult for K-dance students to effectively learn due to the psychological burden of using video information of actual people.
Innovation Solution
A real-time interactive dance education system that uses avatars to provide multimodal feedback, including visual, auditory, and haptic expressions, by extracting and rendering learner and instructor poses in 2D and 3D skeleton data, and generating an avatar dance video with a main character, backup dancers, and background environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If online video training is used for dance education, then accessibility is improved, but real-time feedback capability deteriorates
Solution Approach 1:
The system extracts pose data from learner videos in real-time, compares it with instructor pose data, and provides immediate corrective feedback through the avatar. This closed-loop feedback mechanism resolves the contradiction by enabling real-time guidance while maintaining online accessibility.
Solution Approach 2:
An AI avatar serves as an intermediary between the instructor and the learner. The avatar receives pose data, processes it through comparison algorithms, and delivers feedback, thereby bridging the gap between asynchronous video access and real-time instructional feedback.
2Measurement precision
If video information of actual people is used for dance education, then instructional accuracy is improved, but psychological burden increases
Solution Approach 1:
The system creates a digital avatar that copies and represents the instructor's movements and provides feedback. This virtual copy maintains instructional accuracy while eliminating the psychological burden associated with viewing actual people, as learners interact with an avatar rather than real human instructors.
3Ease of operation
If traditional online dance education is used, then resource accessibility is improved, but learning effectiveness deteriorates
Solution Approach 1:
The system implements automated feedback by comparing learner pose data with instructor pose data in real-time. This feedback mechanism significantly improves learning effectiveness while maintaining the accessibility benefits of online education, as learners receive personalized guidance without needing to be in physical classrooms.
Data Source
AI summary
Disclosed herein are a method for real-time interactive dance education using an avatar and an apparatus therefor. In the method, the apparatus extracts a learner pose and an instructor pose from a dance video containing multiple dance learners and an instructional dance video, respectively, renders an avatar dance video based on the extracted pose of a main learner among the multiple dance learners, generates real-time multimodal dance education feedback for the main learner based on an error between the learner pose and the instructor pose, and provides the main learner with the real-time multimodal dance education feedback synchronized to the avatar dance video.