Multimodal Dance Improvisation Recognition
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
Keywords
multimodal learning, dance recognition, attention networks, IMU, motion analysis
Poster
Click image to open full size