Daily locomotion recognition and prediction: A kinematic data-based machine learning approach

More versatile, user-independent tools for recognizing and predicting locomotion modes (LMs) and LM transitions (LMTs) in natural gaits are still needed. This study tackles these challenges by proposing an automatic, user-independent recognition and prediction tool using easily wearable kinematic mo...

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Detalhes bibliográficos
Autor principal: Figueiredo, Joana (author)
Outros Autores: Carvalho, Simao P. (author), Goncalve, Diogo (author), Moreno, Juan C. (author), Santos, Cristina (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Kinematic data
machine learning
motion intention recognition
motion transition prediction
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
Texto completo:http://hdl.handle.net/1822/71242
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/71242

Texto Completo

http://hdl.handle.net/1822/71242

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