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Deep learning and feature engineering techniques applied to the myoelectric signal for accurate prediction of movements

Publikováno v: Repositório Institucional da UNIFEI (RIUNIFEI)
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

Pattern recognition techniques in the Myoelectric Signal (EMG) are employed in the development of robotic prostheses, and for that, they adopt several approaches of Artificial Intelligence (AI). This Thesis proposes to solve the problem of recognitio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::87e3884715b0768fa8955e9c914f27a3
https://repositorio.unifei.edu.br/jspui/handle/123456789/2477

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A framework for supporting privacy in the computation of biosignals

Autor: Silva, Sebastião Baümberg Tavares da

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Trabalho de Projeto de Mestrado em Informática, 2021, Universidade de Lisboa, Faculdade de Ciências Submitted by Cristina Manessiez (camanessiez@fc.ul.pt) on 2021-12-29T15:26:06Z No. of bitstreams: 1 TM_Sebastião_Silva.pdf: 5648282 bytes, checksum

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Software code complexity assessment using EEG features: Towards a new software engineering paradigm using biofeedback

Autor: Medeiros, Júlio Cordeiro

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

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Automatic Classification of Ultrasonic Vocalizations in Rodents: a Neurodevelopmental Study

Autor: Pessoa, Diogo Rafael Mendes

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
CIÊNCIAVITAE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::50aa553e20f323f9bebd88539fc3e12b

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Automatic Classification of Ultrasonic Vocalizations in Rodents: a Neurodevelopmental Study

Autor: Pessoa, Diogo Rafael Mendes

Trabalho de Projeto do Mestrado Integrado em Engenharia Biomédica apresentado à Faculdade de Ciências e Tecnologia The evolution of technology led to an exponential increase in the amount of data being collected and stored in the most diverse area

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1271::d046c451b72310b1d9a02e0be82544d9
https://hdl.handle.net/10316/87998

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Recolha e Análise de Bio-Sinais em Ambientes Abertos

Autor: Alexandre, Celina Micaela Afonso

Publikováno v: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP

Made available in DSpace on 2018-11-13T16:12:33Z (GMT). No. of bitstreams: 1 5039_10677.pdf: 7481633 bytes, checksum: eb211b7ec6089164adef838463994c79 (MD5) Previous issue date: 2016-11-11

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Extraction of sign language information through biosignals

Autor: Reis, Ana Cláudia Fernandes dos

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

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Extraction of sign language information through biosignals

Autor: Reis, Ana Cláudia Fernandes dos

Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia Recentemente, o campo de interação humana-computador tem sido o foco de bastante interesse, particularmente o tó

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1271::4b999dd9c4a71f8321c9f3dd57e2cc8b
https://hdl.handle.net/10316/82924

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Bio-Radar

Autor: Gouveia, Carolina Teixeira de Sousa

Mestrado em Engenharia Eletrónica e Telecomunicações Nesta dissertação é desenvolvido um protótipo de um bio-radar, cujo foco é a aquisição e processamento do sinal respiratório em tempo real. O sistema do bio-radar permite medir sinais vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2292::69d33276a7ab55f7da6f3d55db723fa2
http://hdl.handle.net/10773/23811

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Bio-Radar

Autor: Gouveia, Carolina Teixeira de Sousa

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Mestrado em Engenharia Eletrónica e Telecomunicações Submitted by Manuel Jesus (albertojesus@ua.pt) on 2018-07-11T14:50:33Z No. of bitstreams: 1 Gouveia, Carolina Teixeira de Sousa .pdf: 50877426 bytes, checksum: ba0348f0374ad08a3d5e85ef78a99bd6 (

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