Transactions on Neural Systems and Rehabilitation Engineering
Featured Articles
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
Posted on 21 JAN 2021
Featured Articles
A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair
Jorge L Candiotti, Brandon J. Daveler, Deepan C. Kamaraj, Cheng S. Chung, Rosemarie Cooper, Garrett G. Grindle, Rory A. Cooper
<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
Posted on 25 SEP 2019
Featured Articles
A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries
Rui Zhang, Qihong Wang, Kai Li, Shenghong He, Si Qin, Zhenghui Feng, Yang Chen, Pingxia Song, Tingyan Yang, Yuandong Zhang, Zhu Liang Yu, Yaohua Hu, Ming Shao, Yuanqing Li
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
Posted on 25 JUL 2017