About this document
Deep Learning for Knee Activity Recognition by rofiafcb is a document available to read on EtoBox.
This study presents an efficient deep learning framework for recognizing lower limb activities from wearable sensors in individuals with knee pathologies, achieving high classification accuracies of 99.8% for healthy subjects and 99.3% for pathological subjects. The framework employs advanced signal enhancement techniques and a modular multibranch convolutional architecture, demonstrating robustness against noise and class imbalance. It is compact and suitable for real-time deployment, with extensive valida
- Author
- rofiafcb
- Language
- EN