IEEE Int Conf Rehabil Robot
September 2023
Wheelchair users are often perceived as someone ill and who will be limited in performing daily activities. This paradigm can be changed if instead to focus on limits, we start to think about the new possibilities that could be explored from their current mobility and technology. We present a novel dancing wheelchair with augmented mobility named Volting.
View Article and Find Full Text PDFManual wheelchair dance is an artistic recreational and sport activity for people with disabilities that is becoming more and more popular. It has been reported that a significant part of the dance is dedicated to propulsion. Furthermore, wheelchair dance professionals such as Gladys Foggea highlight the need for monitoring the quantity and timing of propulsions for assessment and learning.
View Article and Find Full Text PDFBackground: The complex task of Electric Powered Wheelchairs (EPW) prescription relies mainly on personal experience and subjective observations despite standardized processes and protocols. The most informative measurements come from joystick monitoring, but recording direct joystick outputs require to disassemble the joystick. We propose a new solution called "SenseJoy" that is easy to plug on a joystick and is suitable to characterize the driver behavior by estimating the joystick command.
View Article and Find Full Text PDFObjective: For motor handicapped persons, the use of computer interface devices could be a challenging task. Two research venues have been explored to address the usability problem for handicapped users of computer systems. In the first, the focus is on development of new peripheral devices to accommodate the needs of such users.
View Article and Find Full Text PDFFront Comput Neurosci
February 2014
Neural communication generates oscillations of electric potential in the extracellular medium. In feedback, these oscillations affect the electrochemical processes within the neurons, influencing the timing and the number of action potentials. It is unclear whether this influence should be considered only as noise or it has some functional role in neural communication.
View Article and Find Full Text PDFIEEE Int Conf Rehabil Robot
July 2012
In this work we investigate a nonlinear approach for feature extraction of Electroencephalogram (EEG) signals in order to classify motor imagery for Brain Computer Interface (BCI). This approach is based on the Empirical Mode Decomposition (EMD) and band power (BP). The EMD method is a data-driven technique to analyze non-stationary and nonlinear signals.
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