TY - GEN
T1 - BCI for Meal Assistance Device
AU - Sánchez, Brayan Camilo Castro
AU - Carvajal, Laura Camila Loaiza
AU - Quitian, Fitzgerald Leonard Gerardo Toro
AU - López, Juan Manuel López
PY - 2020
Y1 - 2020
N2 - Nowadays, in Latin America, a huge amount of people are in a motor disability condition. This phenomenon generates difficulties to execute daily tasks, such as the feeding process. To mitigate the daily difficulties, assistance devices are needed. This paper describes the evaluation of a brain-computer interface (BCI) for meal assistance, based on the sensorimotor rhythm (SMR), characteristic of the movement intention. The electroencephalographic (EEG) signals were acquired and processed to extract features in the frequency and time domain. These features train a classification model that separates the movement intention from any other cerebral activity. The study was made with ten healthy people who were subjected to a test that corresponds to feed themselves ten times. The results obtained show that average time to activate the meal assistance device is less than 10 s, furthermore, the accuracy of the tests performed was 81.6%, i.e. there is a good differentiation between a movement intention from another activity. Finally, it was concluded that the purposed meal assistance device achieves the goal of allowing an autonomous feeding and leaves as a precedent an alternative to implementing assistance devices through a BCI.
AB - Nowadays, in Latin America, a huge amount of people are in a motor disability condition. This phenomenon generates difficulties to execute daily tasks, such as the feeding process. To mitigate the daily difficulties, assistance devices are needed. This paper describes the evaluation of a brain-computer interface (BCI) for meal assistance, based on the sensorimotor rhythm (SMR), characteristic of the movement intention. The electroencephalographic (EEG) signals were acquired and processed to extract features in the frequency and time domain. These features train a classification model that separates the movement intention from any other cerebral activity. The study was made with ten healthy people who were subjected to a test that corresponds to feed themselves ten times. The results obtained show that average time to activate the meal assistance device is less than 10 s, furthermore, the accuracy of the tests performed was 81.6%, i.e. there is a good differentiation between a movement intention from another activity. Finally, it was concluded that the purposed meal assistance device achieves the goal of allowing an autonomous feeding and leaves as a precedent an alternative to implementing assistance devices through a BCI.
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U2 - 10.1007/978-3-030-30648-9_145
DO - 10.1007/978-3-030-30648-9_145
M3 - Conference contribution
AN - SCOPUS:85075643981
SN - 9783030306472
T3 - IFMBE Proceedings
SP - 1117
EP - 1121
BT - 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019
A2 - González Díaz, César A.
A2 - Chapa González, Christian
A2 - Laciar Leber, Eric
A2 - Vélez, Hugo A.
A2 - Puente, Norma P.
A2 - Flores, Dora-Luz
A2 - Andrade, Adriano O.
A2 - Galván, Héctor A.
A2 - Martínez, Fabiola
A2 - García, Renato
A2 - Trujillo, Citlalli J.
A2 - Mejía, Aldo R.
PB - Springer
T2 - 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019
Y2 - 2 October 2019 through 5 October 2019
ER -