AI RESEARCH
MambaKick: Early Penalty Direction Prediction from HAR Embeddings
arXiv CS.CV
•
ArXi:2604.16588v1 Announce Type: new Penalty kicks in soccer are decided under extreme time constraints, where goalkeepers benefit from anticipating shot direction from the kickers motion before or around ball contact. In this paper, MambaKick is presented as a learning-based framework for penalty direction prediction that leverages pretrained human action recognition (HAR) embeddings extracted from contact-centered short video segments and combines them with a lightweight temporal predictor.