Improve Mobility of Patients with Smart Wheelchairs
This project aims to develop a smart wheelchair to assist individuals with reduced mobility. It comprises three major tasks:
Task 1: Install a small camera to detect the lobby environment for path planning. A preliminary analysis of environmental detection has been performed using ResNet-50. Additional images and further fine-tuning of the AI model are required. This task will be managed by one student throughout the project.
Task 2: Integrate a control hub for the wheelchair's motion control. The controller will drive two motors to manage the movement of the wheelchair's wheels, taking into account factors such as the wheelchair's weight, the patient, and battery power.
Task 3: Install a Radio Frequency Identification (RFID) system to monitor the status and movement of the wheelchair, assessing if assistance is needed.
The key area of research includes implement of camera to image acquiring, application of AI for object detection on Internet of Things, motion control and path planning, and status update along the path using RFID.
- Faculty: Yufang Jin
- Department: Electrical and Computer Engineering
- Open Positions: 3
- Mode: On-Campus (In-person)
- Hours per week: 10
Requirements and Responsibilities:
Needed Skills: Students will acquire the following technical and research skills:
- Problem identification with critical thinking and problem-solving strategies by reviewing existing results
- Implementation of existing results to a real-world problem with necessary modification of algorithms or parameter justification
- Technical debug while integrating multiple modules of the system.
- Technical presentation and reporting.
Student Responsibilities: The project requires a total of three students. Task 1 will be handled by one student for the entire duration of the project. Task 3 will be assigned to one student for the first half of the project; afterward, this student will collaborate with a third student to work on Task 2.
