Abstract. The use of body-worn sensors for recognizing a person’s context has gained much popularity recently. For the development of suitable context recognition approaches and their evaluation, real-world data is essential. In this paper, we present two data sets which we recorded to evaluate the usefulness of sensors and to develop, test and improve our recognition strategies with respect to two specific recognition tasks.