IEEE

Deep Learning-based Human Activity Recognition with FMCW Radar: A Review

Abstract: Human activity recognition (HAR) has emerged as a critical research area with strong implications for healthcare, including elderly monitoring in assisted living and independent environments ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image reconstruction technology delivering clearer image quality

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Frontiers

Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data

1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...
IEEE

Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network

Abstract: This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques. We propose a ...
GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...