TY - GEN
T1 - A Smart Home Control Prototype Using a P300-Based Brain–Computer Interface for Post-stroke Patients
AU - Cortez, Sergio A.
AU - Flores, Christian
AU - Andreu-Perez, Javier
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - In this paper, we present and compare the accuracy of two types of classifiers to be used in a Brain–Computer Interface (BCI) based on the P300 waveforms of three post-stroke patients and six healthy subjects. Multilayer Perceptrons (MLPs) and Support Vector Machines (SVMs) were used for single-trial P300 discrimination in EEG signals recorded from 16 electrodes. The performance of each classifier was obtained using a five-fold cross-validation technique. The classification results reported a maximum accuracy of 91.79% and 89.68% for healthy and disabled subjects, respectively. This approach was compared with our previous work also focused on the P300 waveform classification.
AB - In this paper, we present and compare the accuracy of two types of classifiers to be used in a Brain–Computer Interface (BCI) based on the P300 waveforms of three post-stroke patients and six healthy subjects. Multilayer Perceptrons (MLPs) and Support Vector Machines (SVMs) were used for single-trial P300 discrimination in EEG signals recorded from 16 electrodes. The performance of each classifier was obtained using a five-fold cross-validation technique. The classification results reported a maximum accuracy of 91.79% and 89.68% for healthy and disabled subjects, respectively. This approach was compared with our previous work also focused on the P300 waveform classification.
KW - Multilayered perceptron
KW - P300
KW - Stroke patients
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=85098144103&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-57566-3_13
DO - 10.1007/978-3-030-57566-3_13
M3 - Conference contribution
AN - SCOPUS:85098144103
SN - 9783030575656
T3 - Smart Innovation, Systems and Technologies
SP - 131
EP - 139
BT - Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
A2 - Iano, Yuzo
A2 - Arthur, Rangel
A2 - Saotome, Osamu
A2 - Kemper, Guillermo
A2 - Borges Monteiro, Ana Carolina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th Brazilian Technology Symposium, BTSym 2019
Y2 - 22 October 2019 through 24 October 2019
ER -