wheelchair

Deep Learning Architecture to Assist with Steering a Powered Wheelchair
Author(s)3: Malik J. Haddad, David A. Sanders
Deep Learning Architecture to Assist with Steering a Powered Wheelchair 582 322 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This paper describes a novel Deep Learning architecture to assist with steering a powered wheelchair. A rule-based approach is utilized to train and test a Long Short Term Memory (LSTM) Neural Network. It is the first time a LSTM has been used for steering a powered wheelchair. read more

A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair
Author(s)3: Jorge L Candiotti, Brandon J. Daveler, Deepan C. Kamaraj, Cheng S. Chung, Rosemarie Cooper, Garrett G. Grindle, Rory A. Cooper
A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

<em       The Mobility Enhancement roBotic (MEBot) wheelchair was developed to improve the safety and accessibility of wheelchair users when facing architectural barriers. MEBot uses pneumatic actuators attached to its frame…

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TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

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