Author
Listed:
- RICARDO CARREÑO AGUILERA
(Universidad del Istmo Campus Tehuantepec, Ciudad Universitaria S/N, Barrio Santa Cruz, 4a. Sección Sto. Domingo Tehuantepec, C. P. 70760, Oaxaca, México)
- ADAN ACOSTA BANDA
(Universidad del Istmo Campus Tehuantepec, Ciudad Universitaria S/N, Barrio Santa Cruz, 4a. Sección Sto. Domingo Tehuantepec, C. P. 70760, Oaxaca, México)
- MIGUEL PATIÑO ORTIZ
(Instituto Politécnico Nacional, SEPI ESIMEZ, Av. Luis Enrique Erro S/N, Unidad Profesional Adolfo López Mateos, Zacatenco, AlcalÃa Gustavo A. Madero, C. P. 07738 Ciudad de México, México)
- JULIAN PATIÑO ORTIZ
(Instituto Politécnico Nacional, SEPI ESIMEZ, Av. Luis Enrique Erro S/N, Unidad Profesional Adolfo López Mateos, Zacatenco, AlcalÃa Gustavo A. Madero, C. P. 07738 Ciudad de México, México)
Abstract
This paper proposes an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs) in Emotion Recognition (ER). Based on Artificial Intelligence, this proposal uses audio-visual emotion patterns to determine psychiatric profiles to attend to the most urgent as a priority. BCNN architectures were used to identify emergency patterns. The results indicate that the proposed method is adequate for classifying and identifying audio-visual patterns using Deep Learning (DL) with Boltzmann’s restricted machines. It is concluded that it is sufficient to consider the audio-visible critical features from the patient’s face and voice for the proposed model to recognize a psychiatric services emergency for immediate action: the emergency with no control and the Emergency under control. User personal dynamic profiles are stored in the blockchain ecosystem since they are deemed sensitive data. System security is provided by blockchain and authentication uses non-fungible tokens (NFT) technology.
Suggested Citation
Ricardo Carreã‘O Aguilera & Adan Acosta Banda & Miguel Patiã‘O Ortiz & Julian Patiã‘O Ortiz, 2023.
"Dynamic Hyperledger Nft On Federated Learning For Psychiatric Services In The Covid-19 Times,"
FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(07), pages 1-14.
Handle:
RePEc:wsi:fracta:v:31:y:2023:i:07:n:s0218348x23500718
DOI: 10.1142/S0218348X23500718
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