Abstract
In this paper, we describe the design considerations and implementation of a smart toy system, a technology for supporting the automatic recording and analysis for detecting developmental delays recognition when children play using the smart toy. To achieve this goal, we take advantage of the current commercial sensor features (reliability, low consumption, easy integration, etc.) to develop a series of sensor-based low-cost devices. Specifically, our prototype system consists of a tower of cubes augmented with wireless sensing capabilities and a mobile computing platform that collect the information sent from the cubes allowing the later analysis by childhood development professionals in order to verify a normal behaviour or to detect a potential disorder. This paper presents the requirements of the toy and discusses our choices in toy design, technology used, selected sensors, process to gather data from the sensors and generate information that will help in the decision-making and communication of the information to the collector system. In addition, we also describe the play activities the system supports.
Highlights
It is clear that children use toys everywhere
As we advanced in previous section, these professionals need to know the about the activity performed by children
The Raspberry is provided with a Radio Frequency device (NRF24L01+, the same as that used in the cubes) for toys–collector communications, and a USB WiFi adapter (Realtek RTL8188CUS) for client–collector communications
Summary
It is clear that children use toys everywhere. We can think that toys are their main interface with the world. In this line, the EDUCERE Project [8], where the cubes we present in this paper are included, will develop different devices that may be embedded into toys or other common objects used at school, at home, or at the paediatrician office. The EDUCERE Project [8], where the cubes we present in this paper are included, will develop different devices that may be embedded into toys or other common objects used at school, at home, or at the paediatrician office These devices should capture user data, so teachers or doctors may detect outlier children from regular patterns. We present the architecture of the system based the cube tower toy, and the last section is devoted to results, conclusions and future work
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