Collecting Data about the Way Dyslexic Children Write

Internet Of Things (IoT) is one of the major topics in computer science. The connection of IoT to applications over Wireless Sensor Networks (WSNs) is common in order to propose practical solutions. Simultaneously, games are known to increase interest and motivation among students when they are designed with pedagogic intent. Moreover, having fun while learning is of great interest to dyslexic children because it reduces stress and helps them focus and concentrate, which may be difficult for them because of their condition. Touching and manipulating letters may also improve their reading skills. The application this article deals with is a physical support on which children can place and move 3D letters in order to reproduce the word they are seeing. In this study, we embed in each learning component a WSN. For each WSN, we select a kind of master which is connected to the Internet. We will then handle a network of WSNs to build a backbone to investigate the thinking pattern of each child. This investigation could be monitored by a doctor from her/his office without disrupting her/his work. The main purpose of this paper is to propose a model in order to detect if dyslexic children could read more efficiently if a 3D view of words was proposed to them. But as our application gathers information that are relevant for remediation, it is also a forward useful solution to doctors who are always busy and who might check the display of children without an actual meeting.