5W1H as a human activity recognition paradigm in the iSpace

In this paper we propose the use of a widely known paradigm in the forensic area to detect and categorize human activities. 4W1H describes the context in any environment by describing it using 5 base variables, Who, When, What, Where and How. We make use of this description plus an intention variable known as "Why" to be able to predict and react accordingly to the current user\´s situation. We show the hardware setting required to detect these variables as well as some approaches to sense them from the environment using a minimal hardware setting. We also look into the current work in categorizing the data using Self Organizing Maps and Clustering Techniques.