A web of things approach for indoor position monitoring of elderly and impaired people

Abstract

Helping, assisting and taking care of the elderly and of impaired people is one of the greatest challenges in our society. Within this paper, we propose a new approach for indoor position monitoring of people, aiming to identify in real time dangerous situations. In order to boost interoperability and continuous adaptation of the devices used, a Web Of Things based solution will be proposed and evaluated. Our contribution, in particular, consists of a portable and user friendly Radio Frequency IDentification (RFID) reader exploiting monopulse radar and beam-steering capabilities. Such hardware, exploiting a set of software modules, will be located in an environment easily accessible and extensible to a growing number of devices. The application will be the result of the cooperation between software and hardware, eventually outlining a real and completely flexible Web Of Things environment.

Keywords

• Web of Things
• Positioning
• Indoor Localization
• Ambient Assisted Living
• AAL
• Semantic Web
• Internet of Things