CLEVERarm: An Upperlimb Rehabilitation Exoskeleton with Neural Human-Robot Interface, Enabling Immersive Training in Haptic Environments

Bio-signals Analysis, and Game Development for a Rehabilitation Exoskeleton

What is the overall goal of your project?
The goal is to develop algorithms to analyze bio-signals of muscles and brains to better control a rehabilitation robot. Additionally, to improve recovery of patients, advanced virtual and augmented reality games will be developed and coupled with the exoskeleton.

Which grand challenge are you addressing?
According to the World Health Organization, 15 million people worldwide have a stroke each year and as many as 88% of survivors need rehabilitation. Rehabilitation helps stroke survivors relearn skills through neuroplasticity. Our goal is to improve recovery of stroke patients by providing robot-based rehabilitation which can enable intense and fun therapy. 

What is the key challenge your project is trying to solve?
Presence of human in the rehabilitation robots increases the complexity of controlling these robotic systems. To develop a user-specific compliant device, information from the human side including bio-signals are required. Additionally, to allow patients to practice daily living skills in a fun environment, development of games simulating therapeutic training and real-life activities are required.

What is the impact on society your project has?
An effective rehabilitation therapy needs to be high-intensity and highly repetitive. However, limitations on the number of therapists, labor- intensive and boring nature of manual therapy deprive patients of intense and long enough rehabilitation sessions, limiting their recovery. A game-enhanced robotic technology can improve recovery of stroke patients, enabling them to live independently, and empower the young survivors to return to work, which positively impacts families, society, and economy. 

Faculty Mentor: Dr. Reza Langari

Engineering majors targeted? CEEN, CECN, ELEN, BMEN, MEEN