RISE Research Radar

Computer Science Open House 2022-2025

2023

Multimodal Dance Improvisation Recognition

Jia Fu, Jianui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman

Summary

Component attention network for multimodal dance improvisation recognition. Uses Unico-Maastricht Dance dataset with 13 joints, 6 IMUs, accelerometers, gyroscopes, and MFCC audio. Attention-based model for multimodal fusion outperforms baselines in classification accuracy.

Themes

computer-visionmachine-learning

Keywords

multimodal learning, dance recognition, attention networks, IMU, motion analysis

Poster

Multimodal Dance Improvisation Recognition poster

Click image to open full size