A Metamaterial Computational Multi-Sensor of Grip-Strength Properties with Point-of-Care Human-Computer Interaction.

Chen, Yinghua; Li, Tianrun; Wang, Zhemin; Yan, Zhimiao; De Vita, Raffaella; Tan, Ting

Chen, Yinghua; Li, Tianrun; Wang, Zhemin; Yan, Zhimiao; De Vita, Raffaella; Tan, Ting.

Afiliación

Chen Y; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Li T; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Wang Z; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Yan Z; State Key Laboratory of Ocean Engineering, Department of Mechanics, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
De Vita R; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24061, USA.
Tan T; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.

Adv Sci (Weinh) ; 10(34): e2304091, 2023 Dec.

Article en En | MEDLINE | ID: mdl-37818760

Asunto(s)

Fuerza de la Mano; Sarcopenia; Humanos; Femenino; Anciano; Ecosistema; Sistemas de Atención de Punto; Computadores

Palabras clave

grip strength; human-computer interaction; mechanical metamaterials; piezoelectricity; self-powered sensing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fuerza de la Mano / Sarcopenia Límite: Aged / Female / Humans Idioma: En Revista: Adv Sci (Weinh) Año: 2023 Tipo del documento: Article Pais de publicación: Alemania

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