Innovative ecosystem for informing visual impaired person in smart shopping environment: InnIoTShop.

Assistive technologies nowadays have an increasing application in overcoming the everyday needs of visually impaired persons. Going to the grocery store for groceries is a challenge for any visually impaired person who moves without a personal assistant. Creating a perception of the space in which the person is located and the possibility of orientation in such an environment is significantly reduced. The solutions and services currently available are based solely on reading products using some form of assistive technology. In this research, user needs were analyzed to define the necessary information to master the shopping process. The research aims to define a conceptual system architecture to deliver InnIoTShop information service to users moving through smart stores. The proposed architecture is based on the IoT concept, and an InnIoTShop service taxonomy has been created for this service. For data collection, processing, and fusion, the concept of Fog/Cloud Computing and M2M and M2H technology was used, which enables the adaptation of information to visually impaired persons. The paper also validated specific elements of the system architecture, which confirmed individual service functionalities' operation. [ABSTRACT FROM AUTHOR]