Impact Intensity

Impact intensity research focuses on quantifying the force and duration of impacts across diverse applications, from predicting stock market fluctuations based on news sentiment to assessing injury risk in human-robot interaction. Current research employs various methods, including neural networks (often combined with symbolic AI or Kalman filtering for improved accuracy), to estimate impact strength from diverse data sources like sensor readings and even linguistic analysis of coded communication. These advancements have implications for improving safety in robotics, enhancing financial forecasting models, and developing more robust structural health monitoring systems.