RESUMO
The effectiveness of sensor-based applications for smart homes and smart buildings is conditioned upon the deployment configuration of their underlying sensors. Real-world evaluation of alternative possible sensor-deployment configurations is labor-intensive, costly, and time-consuming, which implies the need for a simulation-based methodology. In this work, we report on such a methodology that supports the modeling of indoor spaces, the activities of their occupants, and the behaviors of different types of sensors. We argue that, in order for a simulation to be useful for the purpose of evaluating a sensor deployment configuration, it has to generate realistic event streams of individual sensors over time, as well as realistic compositions of sensor events within a time window. We have evaluated our simulator for smart indoor spaces, SIMsis toolkit, in the context of our Smart-Condo ambient-assisted living platform, supporting the observation and analysis of activities of daily living (ADLs). Our findings indicate that SIMsis produces realistic agent traces and sensor readings, and has the potential to support the process of developing and deploying sensor-based applications.
RESUMO
The majority of children with autism face difficulties in social interaction and communication skills. Consequently, in this paper we present a pilot study in which we explored the usability of SpheroTM as a rehabilitation tool for developing social and communication skills. We designed an interactive scenario where children with autism should verbally control the robot and utter voice commands. Our observations show that the children were very interested to interact with the robot in the given framework. They showed surprising behaviors that are promising evidences of effectiveness of using Sphero in rehabilitation of social and communication deficits.