Term 252

AI-Enabled Pre-Fitting Wearable Device with Multimodal Imaging and Nerve-Sensing for Predictive Prosthetic Socket Design and Enhanced User Comfort

Project Type: Self-Initiated

Project Description

This project presents an integrated bio-smart-physical platform that automates and validates the creation of custom prosthetic sockets. The system is structured into three functional segments: a Physical Segment that uses a thermal camera and motorized scanning rig to capture limb data; a Cloud Segment powered by AWS that hosts an AI agentic system (using a Visual Large Language Model within a RAG framework) to generate 3D socket designs in STL format; and a Dashboard Segment where a prosthetist reviews, modifies, and approves the AI-generated design through a human-in-the-loop workflow. The result is a safe, objective, and data-driven approach to prosthetic socket fitting.


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Project Team

Abdulallah Ali Almayman
Abdulallah Ali Almayman
ICS
Moaz Mahmoud Abdelaziz
Moaz Mahmoud Abdelaziz
COE
Osama Rafat Alkarnawi
Osama Rafat Alkarnawi
ICS
Mohamed Ashraf Serag
Mohamed Ashraf Serag
COE
Saleh Mohammed Alharbi
Saleh Mohammed Alharbi
BIOE
Alwalid M Al Faleet
Alwalid M Al Faleet
EE

Team Coach

DR. Shujaat Khan
DR. Shujaat Khan
Assistant Professor

Computer Engineering Dept.

Department of Computer Engineering