Child Development Monitoring Through Infant Activity Recogntion
Overview
Child Development Monitoring Through Infant Activity Recogntion is an interdisciplinary project conducted in collaboration with the Faculty of Physical Therapy at October University for Modern Sciences and Arts (MSA). This innovative project aims to monitor infant movements physical therapy practices by integrating advanced technologies, including pose estimation, computer vision and machine learning, to improve the monitoriing of early childhood.
In this project, we utilized a we purpose our own dataset validated by an expert pediatric , facilitated by the faculty of physical therapy. The primary objective was to create a robust system that can accurately assess and track child movement using cutting-edge techniques.
Publications
Skeleton-Based Infant Activity Recognition: A Study of Sequence, Graph, and Time-Frequency Representations. 2025 2025 Intelligent Methods, Systems, and Applications (IMSA). IEEE. DOI.
Deep Learning Approaches for Infant Activity Recognition: A Comparative Study of Sequence Models and Ensemble Learning Techniques. DATA'26: Digital Age & Technological Advances for Sustainable Development. Springer.
Student List
- Sohaila Ashraf
- May Radwan
Main Supervisor
- Dr. Marwa Solyman
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