1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models
Mohammad Belal, Taimur Hassan, Abdelfatah Ahmed +3
Human activity recognition (HAR) is a crucial area of research that involves understanding human movements using computer and machine vision technology. Deep learning has emerged a…
cs.RO2023★ 1 cited
Improving Knee Joint Angle Prediction through Dynamic Contextual Focus and Gated Linear Units
Lyes Saad Saoud, Humaid Ibrahim, Ahmad Aljarah +1
Accurate knee joint angle prediction is crucial for biomechanical analysis and rehabilitation. In this study, we introduce FocalGatedNet, a novel deep learning model that incorpora…