Intelligent Smart-phone Based Assistive Driving Solution for Power Wheelchairs
Power wheelchairs (PWCs) have been widely utilized to improve the independence of people with disabilities. Although PWCs usually provide convenient joystick-type interfaces that can be easily operated with hands, for people with severe cognitive, motion, or sensory issues, it is still a difficult task to operate PWCs to their fullest extent for an extended period of time. To alleviate the operation difficulties and ease the burden and stress of disabled individuals, this project focuses on the design and development of a cost-effective, smartphone-based Intelligent Assistive Driving system for Power Wheelchair (PWC IA-Driving). The key research areas include: a) machine learning; b) voice control; and c) computing vision.
- Faculty: Dakai Zhu
- Department: Computer Science
- Open Positions: 1
- Mode: Hybrid
- Hours per week: 10
Requirements and Responsibilities:
Needed Skills: Android Development; Embedded Systems
Student Responsibilities: The student will develop the related software components for voice control and smart turning on Android phone. The student will also help evaluate the system by conducting related experiments on the prototype mobile robot system.
