IEEE

Multi-Modal Deep Learning Framework with Attention-Based Fusion and Personalized Baseline Modeling for Automated Movement Disorder Pattern Recognition in Clinical Video Analysis

Abstract: Automated pattern recognition of movement disorders is challenging due to patient differences and subtle symptoms. We present PA-Gait, a multi-modal deep learning framework that combines ...
IEEE

Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments

Abstract: The emergence of edge computing in Intelligent Transportation Systems (ITS) has shown promise in enabling real-time sensor fusion applications. In this paper, we explore how to utilize edge ...