A rapid, non-invasive method for fatigue detection based on voice information.

Gao, Xiujie; Ma, Kefeng; Yang, Honglian; Wang, Kun; Fu, Bo; Zhu, Yingwen; She, Xiaojun; Cui, Bo

Gao, Xiujie; Ma, Kefeng; Yang, Honglian; Wang, Kun; Fu, Bo; Zhu, Yingwen; She, Xiaojun; Cui, Bo.

Afiliación

Gao X; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Ma K; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Yang H; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Wang K; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Fu B; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Zhu Y; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
She X; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.
Cui B; Tianjin Institute of Environmental and Operational Medicine, Tianjin, China.

Front Cell Dev Biol ; 10: 994001, 2022.

Article en En | MEDLINE | ID: mdl-36176279

Palabras clave

acoustic biomarkers; fatigue detection; fatigue scale; speech features; vocal print

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Cell Dev Biol Año: 2022 Tipo del documento: Article País de afiliación: China

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