Skip navigation
Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLuo, Z.-
dc.contributor.authorHu, X.-
dc.contributor.authorTian, X.-
dc.contributor.authorLuo, C.-
dc.contributor.authorXu, H.-
dc.contributor.authorZhang, J.-
dc.contributor.authorQiao, F.-
dc.contributor.authorWu, X.-
dc.contributor.authorBorisenko, V. E.-
dc.contributor.authorChu, J.-
dc.identifier.citationStructure-property relationships in graphene-based strain and pressure sensors for potential artificial intelligence applications / Z. Luo [et al.] // Sensors. - 2019. - № 19(5). – Р. 1250. DOI:
dc.description.abstractWearable electronic sensing devices are deemed to be a crucial technology of smart personal electronics. Strain and pressure sensors, one of the most popular research directions in recent years, are the key components of smart and flexible electronics. Graphene, as an advanced nanomaterial, exerts pre-eminent characteristics including high electrical conductivity, excellent mechanical properties, and flexibility. The above advantages of graphene provide great potential for applications in mechatronics, robotics, automation, human-machine interaction, etc.: graphene with diverse structures and leverages, strain and pressure sensors with new functionalities. Herein, the recent progress in graphene-based strain and pressure sensors is presented. The sensing materials are classified into four structures including 0D fullerene, 1D fiber, 2D film, and 3D porous structures. Different structures of graphene-based strain and pressure sensors provide various properties and multifunctions in crucial parameters such as sensitivity, linearity, and hysteresis. The recent and potential applications for graphene-based sensors are also discussed, especially in the field of human motion detection. Finally, the perspectives of graphene-based strain and pressure sensors used in human motion detection combined with artificial intelligence are surveyed. Challenges such as the biocompatibility, integration, and additivity of the sensors are discussed as well.ru_RU
dc.publisherMultidisciplinary Digital Publishing Institute, Switzerlandru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectstrain sensorru_RU
dc.subjectpressure sensorru_RU
dc.subjectartificial intelligenceru_RU
dc.titleStructure-property relationships in graphene-based strain and pressure sensors for potential artificial intelligence applicationsru_RU
Appears in Collections:Публикации в зарубежных изданиях

Files in This Item:
File Description SizeFormat 
Luo_Structure.pdf157.14 kBAdobe PDFView/Open
Show simple item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.