Time-Frequency And Detection Of Abrubt Changes Techniques Applied To Perception And Recognition By Zigbee Wireless Communication

In this paper, we develop a new methodology and a new conceptual implementation based on the ZigBee sensor communication platform, used for perceiving materials of unknown environments. In this implementation, we distinguish different unknown environments by actively contacting and testing them, and by analysing the resulting signals using a new experimental ZigBee sensor. For this implementation, we identify sensor-derived measures that are diagnostic of material properties, and use these measures to classify the unknown environments in their different perception class. The experiment is based on a wireless communication between the unknown environments and the analysis landed station for characterizations. The parameter of classification is the internal angle of friction of the unknown environment based on its own material.