Enhancing Assistive Robotics for Walking Impairments Through Human Motion Recognition

This research project aims to develop advanced robots and devices to help people with disabilities, like those with cerebral palsy or who have had strokes, move and live more independently. As people get older and the need for such assistive technology grows, it’s crucial to make sure these devices can accurately understand and predict human motion to be safe and effective. The project will focus on improving motion recognition systems by using a combination of muscle activity signals and mechanical sensors to predict a person’s movements before they even start. This could make interactions with robots feel more natural and reduce delays in how these devices respond. By tailoring these technologies to meet the specific needs of individuals with walking impairments, the project aims to make daily activities easier for them, enhancing their quality of life. The involvement of institutions in this research is expected to lead to the creation of more adaptable, safe, and effective assistive devices, contributing to significant advancements in the field of rehabilitation and assistive robotics.

Faculty Supervisor:

Mojtaba Ahmadi

Student:

Partner:

University of Illinois Chicago

Discipline:

Engineering

Sector:

Artificial Intelligence; Technology

University:

Carleton University

Program: