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Online Gait Phase Detection in Complex Environment Based on Distance and Multi-Sensors Information Fusion Using Inertial Measurement Units

Dados Bibliográficos

ID21199378
AutoresLiping Huang (0000-0003-3073-7698, Wuhan University of Technology, autor correspondente), Jianbin Zheng (0000-0003-0636-3905, Wuhan University of Technology), Huacheng Hu, HU Hua-cheng (0000-0002-3109-7525, Wuhan University of Technology)
Ano2022
Volume14
Fascículo2
Páginas413-428
Data de publicação2022-03-01
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Social Robotics (JOURNAL)
Identificadores do periódicoISSN: 1875-4791 • E-ISSN: 1875-4805
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-021-00794-6
OpenAlexW3166080566
IdiomaEN
Referências citadas40

Computer vision · Exoskeleton · Gait · Hidden Markov model · Inertial measurement unit · Machine learning · Sensor Fusion · Simulation · Support vector machine · Balance, Gait, and Falls Prevention · Computer Science · Context-Aware Activity Recognition Systems · Gait Recognition and Analysis · Artificial Intelligence

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Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae