AI Glass for Healthcare Applications
Project Description
This project explores the design and development of an AI-enabled smart glasses system for healthcare applications. The goal is to investigate how wearable devices equipped with cameras, microphones, sensors, and on-device or cloud-based AI can support clinicians, caregivers, or patients in real-world settings.
Supervisor
ZHANG Jun
Quota
2
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
The student will begin with a literature review of smart glasses, wearable AI, computer vision, speech interfaces, and healthcare AI systems. Based on this review, the student will identify a specific use case and develop a prototype or proof-of-concept system. Depending on the project scope, the implementation may involve image recognition, voice interaction, object detection, activity recognition, or multimodal AI for contextual assistance.
Applicant's Learning Objectives
1. Survey potential use cases of AI glass in healthcare
2. Establish benchmark and dataset for selected use cases
3. Implement AI agent on a smart glass
4. Test the system
2. Establish benchmark and dataset for selected use cases
3. Implement AI agent on a smart glass
4. Test the system
Complexity of the project
Moderate