scholarly journals State of art of possible communication support systems for users with athetoid cerebral palsy

2018 ◽  
Vol Volume 6, Number 1 (Research articles) ◽  
Author(s):  
Yohan Guerrier ◽  
Christophe Kolski ◽  
Franck Poirier
Keyword(s):  
Cerebral Palsy ◽  
Support Systems ◽  
State Of The Art ◽  
Brain Computer Interface ◽  
User Profile ◽  
Computer Interface ◽  
Communication Support ◽  
Athetoid Cerebral Palsy ◽  
Personnes Handicapées ◽  
International Audience

International audience This article proposes a state-of-the-art on communication support systems that can be used by users with Athetoid Cerebral Palsy. Today, many communication support systems are available on the market and/or presented in the literature.They include (1) virtual keyboards, (2) software using pictograms, (3) speech recognition, and (4) other types of input systems dedicated to physically disabled users (brain-computer interface and physical aids). After the description of these four categories of communication support systems, this article ends with a synthesis in which our view of each category of system in relation to the considered user profile is provided. Cet article propose un état de l'art des systèmes d'aide à la communication utilisables par des utilisateurs de profil Infirme Moteur Cérébral (IMC) athétosique.De nos jours, de nombreuses aides à la communication sont proposées sur le marché et/ou présentées dans la littérature. Ces aides rassemblent (1) les claviers virtuels, (2) les logiciels exploitant des pictogrammes, (3) la reconnaissance vocale et (4) les autres types de systèmes de saisie dédiées aux personnes handicapées physiques (interface cerveau-ordinateur et aides physiques). Après la description successive de ces quatre catégories d’aide, cet article se termine par une synthèse dans laquelle notre point de vue sur chaque catégorie de système relativement au profil visé, est fourni.

scholarly journals A comparative study: use of a Brain-computer Interface (BCI) device by people with cerebral palsy in interaction with computers

2015 ◽  
Vol 87 (4) ◽  
pp. 1929-1937 ◽  
Author(s):  
Regina O. Heidrich ◽  
Emely Jensen ◽  
Francisco Rebelo ◽  
Tiago Oliveira
Keyword(s):  
Cerebral Palsy ◽  
Comparative Study ◽  
Case Studies ◽  
Brain Computer Interface ◽  
Product Evaluation ◽  
Computer Interface ◽  
Healthy Controls ◽  
The Brain

ABSTRACT This article presents a comparative study among people with cerebral palsy and healthy controls, of various ages, using a Brain-computer Interface (BCI) device. The research is qualitative in its approach. Researchers worked with Observational Case Studies. People with cerebral palsy and healthy controls were evaluated in Portugal and in Brazil. The study aimed to develop a study for product evaluation in order to perceive whether people with cerebral palsy could interact with the computer and compare whether their performance is similar to that of healthy controls when using the Brain-computer Interface. Ultimately, it was found that there are no significant differences between people with cerebral palsy in the two countries, as well as between populations without cerebral palsy (healthy controls).

Signal processing algorithms for motor imagery brain-computer interface: State of the art

2018 ◽  
Vol 35 (6) ◽  
pp. 6405-6419
Author(s):  
Jie Hong ◽  
Xiansheng Qin ◽  
Jing Li ◽  
Junlong Niu ◽  
Wenjie Wang
Keyword(s):  
Signal Processing ◽  
Motor Imagery ◽  
State Of The Art ◽  
Brain Computer Interface ◽  
Interface State ◽  
Computer Interface ◽  
Signal Processing Algorithms ◽  
Processing Algorithms

scholarly journals User’s Emotions and Usability Study of a Brain-Computer Interface Applied to People with Cerebral Palsy

Technologies ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 28 ◽  
Author(s):  
Alejandro García Ramírez ◽  
Jéferson da Silva ◽  
Ana Savall ◽  
Tiago Catecati ◽  
Marcelo Ferreira
Keyword(s):  
Cerebral Palsy ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Usability Study

scholarly journals A review of the state of the art of feature extraction of electroencephalographic signals

2019 ◽  
pp. 21-27
Author(s):  
José Jaime Esqueda-Elizondo ◽  
Laura Jiménez-Beristáin ◽  
Carlos Alberto Chávez-Guzmán ◽  
Ricardo Jesús Renato Guerra-Fraustro
Keyword(s):  
Feature Extraction ◽  
State Of The Art ◽  
Brain Computer Interface ◽  
The State ◽  
Computer Interface ◽  
Work Team ◽  
Electroencephalographic Signals

We present a review of the state of the art of the techniques and algorithms most used in the selection and detection of characteristics of electroencephalographic signals of people when consciously performing activities. These features are numeric parameters that describe the behavior of the signal and are the basis of patterns. In addition, previous experiences in the acquisition of electroencephalographic signals using the Epoc brain-computer interface manufactured by Emotiv are presented. First, some techniques used to eliminate artifacts (disturbances) present in the signal generated by blinking, strong breathing or other movements that contaminate the signal are presented. Later, the algorithms most frequently used in the processing of electroencephalographic signals are shown for the extraction of characteristics that describe the behavior of these patterns and that can be used to detect and recognize patterns in other signals. Finally, we present the lessons that we have acquired as a work team in the recording of electroencephalographic signals in order to be helpful for beginners.

scholarly journals Critical issues in state-of-the-art brain–computer interface signal processing

2011 ◽  
Vol 8 (2) ◽  
pp. 025002 ◽  
Author(s):  
Dean J Krusienski ◽  
Moritz Grosse-Wentrup ◽  
Ferran Galán ◽  
Damien Coyle ◽  
Kai J Miller ◽  
...  
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Critical Issues

Lets play Tic-Tac-Toe: A Brain-Computer Interface case study in cerebral palsy

2016 ◽  
Author(s):  
Reinhold Scherer ◽  
Andreas Schwarz ◽  
Gernot R. Muller-Putz ◽  
Viktoria Pammer-Schindler ◽  
Mariano Lloria Garcia
Keyword(s):  
Cerebral Palsy ◽  
Brain Computer Interface ◽  
Computer Interface

EEG control of gait in children with cerebral palsy. Preliminary data for the construction of a brain computer interface

2015 ◽  
Vol 42 ◽  
pp. S42 ◽  
Author(s):  
S. Lerma Lara ◽  
M.D. del Castillo ◽  
J.I. Serrano ◽  
E. Rocón ◽  
R. Raya ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Preliminary Data ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Children With Cerebral Palsy

scholarly journals A Comparative Study: Use of a Brain-Computer Interface (BCI) Device by People with Cerebral Palsy in Interaction with Computers

2015 ◽  
pp. 405-410
Author(s):  
Regina Heidrich ◽  
Francisco Rebelo ◽  
Marsal Branco ◽  
João Batista Mossmann ◽  
Anderson Schuh ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Comparative Study ◽  
Brain Computer Interface ◽  
Computer Interface

Brain-Computer Interface Research: A State-of-the-Art Summary 4

2015 ◽  
pp. 1-8 ◽  
Author(s):  
Christoph Guger ◽  
Brendan Z. Allison ◽  
Gernot R. Müller-Putz
Keyword(s):  
State Of The Art ◽  
Brain Computer Interface ◽  
Computer Interface
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