Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations

Documenti analoghi

• OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection
  di: Schneider, David, et al.
  Pubblicazione: (2025)
• RadHARSimulator V1: Model-Based FMCW Radar Human Activity Recognition Simulator
  di: Gao, Weicheng
  Pubblicazione: (2025)
• Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment
  di: Nasriddinov, Firdavs, et al.
  Pubblicazione: (2024)
• Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy
  di: Schneider, David, et al.
  Pubblicazione: (2024)
• A Python Framework Enhancement for Neutrosophic Topologies
  di: Nordo, Giorgio, et al.
  Pubblicazione: (2024)