M. F. El-Khatib

A multimodal EMG–IMU dataset and multi-dataset benchmark for deep learning-based human activity recognition

Human Activity Recognition (HAR) using wearable sensors is relevant to rehabilitation, assistive robotics, and mobile health applications. This study presents (i) SDALLE, a publicly available multimodal dataset integrating surface electromyography (EMG) and inertial measurement unit (IMU) signals acquired using a DELSY...