Transactions on Neural Systems and Rehabilitation Engineering

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Deep Learning Architecture to Assist with Steering a Powered Wheelchair
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
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A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair
<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 and six wheels to provide curb ascending/descending for heights... Read more
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A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries
An important application of EEG-based brain-computer interface (BCI) is environmental control, which can improve the quality of life for paralyzed patients. However, most of the existing BCI-based environmental control systems were designed for the control of a single device without... Read more