2 papers
cs.CV2026
Memory-Augmented LSTM Autoencoder for Unsupervised Activity Recognition with IMU Sensor Fusion
Saeid Arabzadeh, Farshad Almasganj, Mohammad Mahdi Ahmadi
HAR using Inertial Measurement Unit (IMU) sensors is vital for healthcare monitoring and rehabilitation. Despite deep learning advancements, major challenges remain: reliance on la…
cs.LG2025
CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition
Saeed Arabzadeh, Farshad Almasganj, Mohammad Mahdi Ahmadi
Deep learning methods have been widely used for Human Activity Recognition (HAR) using recorded signals from Iner-tial Measurement Units (IMUs) sensors that are installed on variou…