Application of recurrent neural networks for motion analysis with OpenSim

• 主要作者: Yam, Li Hao
• 其他作者: Yifan Wang
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Computer and Information Science; Engineering; Physics; OpenSim; Gait; Motion analysis; Recurrent neural networks; Machine learning; Data science; Long short-term memory networks
• 在線閱讀: https://hdl.handle.net/10356/177883
• 機構: Nanyang Technological University

This paper explores the application of Recurrent Neural Networks (RNN) – Long Short-Term Memory (LSTM) networks in particular, to predict muscle force and movement during stoop lift motions with data processed using OpenSim software. The study includes machine learning techniques such as biomechanic...