WINFO+: Identification of Environment Condition Using Walking Signals

In this paper we describe a prototype system of identifying environment condition utilizing signals emitted by people. Many people move around in many places such as urban and mountain areas. If each person emits information about identifying the state of the place where he/she and all the information is collected to one site, we can know the state of an area. Based on the idea, we have extended WINFO, a previously developed system, to accommodate reading people's walking conditions obtained by pressure signals at the people's feet. We show an architecture of the prototype system and a result of acquiring walking patterns in an urban area.