Artificial neural network for studying human performance

📒 The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for improvement, especially with respect to posture- and motion-prediction. Thus, this work investigates the use of artificial neural network (ANN) for improving predictive capabilities and for better understanding how and why human behave the way they do.