Listar por autor "Ariza Cervera, Isaac"
Mostrando ítems 1-6 de 6
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Bi-LSTM Neural Network for EEG-based detection of musical characteristics
Ariza Cervera, Isaac; Guillén, Sergio; Tardón-García, Lorenzo José
; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel (2023)
Electroencephalography (EEG) combined with Deep Learning and digital signal processing allows for mental activity recognition. In our study, a new feature extraction model-based is presented when combined with Bi-LSTM ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
Ariza Cervera, Isaac; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2022-09)
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
EEG Database for language detection.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Universidad de Málaga, 2025-01-24)
This database is made up of EEG signals from 6 subjects listening to sentences in different languages and their answers to the questions: have you understood the meaning of the sentence?. The languages chosen are: english, ... -
EEG Database for musical genres detection.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Universidad de Málaga, 2025-01-24)
This database is made up of EEG signals from 6 subjects listening to fragments of songs from different musical genres and their answers to the questions: did you know this song and do you like this song?. The musical genres ... -
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Springer, 2023-09-11)
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this ... -
Technology for exergames: Arduino-based reactive floor
Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Ariza Cervera, Isaac (2022-09)
Studies conducted by the World Health Organization (WHO) indicate that most adolescents do not perform enough physical activity, endangering their current and future health; also, elder persons gain great benefit from ...