Halima Tus Sadia

International Islamic University Chittagong

Papers

Total Citations

H-Index

About

Halima Tus Sadia is a researcher in computer vision, with a focused interest in human pose estimation and its applications in healthcare and rehabilitation. Her work centers on developing efficient, lightweight models for real-time 2D skeleton and joint angle estimation, a critical component for analyzing human movement. Her most cited paper, "Skeleton and Joint Angle Estimation Based on MobileNet" (2023), demonstrates a practical approach to detecting body key-points and estimating skeletal poses using a streamlined architecture suitable for resource-constrained environments. This contribution is particularly valuable for fields requiring automated movement analysis, such as physical therapy and assistive technologies. While her citation count is currently modest, her research addresses a growing demand for accessible, real-time pose estimation systems that can be deployed in clinical and home settings. By prioritizing efficiency without sacrificing accuracy, Sadia’s work lays the groundwork for scalable solutions in healthcare monitoring and rehabilitation, marking her as an emerging voice in applied computer vision.