Graphene Sensor Developed For Intelligent Home Care Systems

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The sensor is nothing but a smart material that can be placed on building walls and used for supervision of elderly people

In a research conducted at Deakin University’s Mediated Intelligence in Design (MInD) Lab, a new smart material has been developed whose application can be for in-home care systems for the elderly.

The project was successfully completed in collaboration with Imagine, a Geelong-based intelligent materials manufacturer.

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Chris Gilbey, CEO, Imagine, said, “There is a limited understanding of the potential for this technology inside public and private buildings.”

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The material is a graphene-based sensor and could be installed on surfaces such as walls and floors to provide information on temperature, pressure, and humidity levels of environments where occupants require supervision.

According to MInD Lab director, Professor Tuba Kocatyrk, “With these (graphene) coatings, the surface becomes ‘smart’ and information captured through these surfaces is then delivered into an Internet of Things (IoT) connected world through cloud computing. It will allow operators to collate and analyse data from large surfaces in buildings simultaneously and develop efficient responses in real-time, with the potential to significantly advance efficiency and safety in our buildings.”

Via the variable which the smart sensors read, information on the status of those inside the building can be understood.

“We are exploring how this technology can be used to create an intelligent home care system so that behavioural information can be recorded, analysed and shared in real-time,” said Chris Gilbey.

With demographic shifts seeing more elderly people, thanks to improved healthcare, the requirement for better in-home care for longer periods has become a necessity.

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“We are exploring how this technology can be used to create an intelligent home care system so that behavioural information can be recorded, analysed and shared in real-time,” said Dr Rui Wang, research fellow at MInD Lab.

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