Application of recurrent neural networks for motion analysis with OpenSim

• المؤلف الرئيسي: Yam, Li Hao
• مؤلفون آخرون: Yifan Wang
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Engineering; Physics; OpenSim; Gait; Motion analysis; Recurrent neural networks; Machine learning; Data science; Long short-term memory networks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/177883

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...