Antifreezing, Adhesive, and Ultra-Stretchable Ionogel for AI-Enabled Motion Tracking and Recognition in Winter Sports.
ACS Appl Mater Interfaces
; 15(19): 23749-23757, 2023 May 17.
Article
em En
| MEDLINE
| ID: mdl-37143329
ABSTRACT
Motion tracking and recognition are gaining increasing attention in athletes' training for winter sports due to their importance in posture correction and injury prevention. Electronic skin serves as a better candidate compared to vision-based methods. However, the challenges of its application include sensing materials with good stretchability, softness, anti-freeze, non-volatility, and adhesion, and data processing techniques of high intelligence and efficiency. Here, we propose an antifreezing, adhesive, and ultra-stretchable organic ionogel (OIG). Maximum elongation of over 6500% has been obtained for the OIG of the double network, and the mechanical stretchability is retained at temperatures ranging from -50 to 50 °C. Importantly, the multi-sensor system could realize motion "recognition" rather than "perception" with the help of a convolutional neural network.
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MEDLINE
Assunto principal:
Esportes
/
Dispositivos Eletrônicos Vestíveis
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article