A movement profile detection system using self organized maps in the Intelligent Space

Detecting human activities in a controlled room such as Hashimoto Laboratory Intelligent Space is an important part in researching the interaction between robots and humans within the space. A number of algorithms is required in order to detect and classify effectively human activity. In this paper we implement a self organized map structure to data obtained from a sensor network in order to classify human activity in the space for a latter classification and use of it.