A Notebook Sensory Data Set for Context Recognition


For a qualitative and quantitative assessment of context predictionand recognition methods, real-world data sets are inevitable. Bycollecting sensor data on a single notebook over a period of a fewmonths we got a rather large log file of homogeneous and heterogeneousfeatures reflecting the users activities during this time frame.In this paper we present which devices were exploited as sensors,which information was logged and how this information was storedfor further processing by classification algorithms.

Proceedings of the Benchmarks and a Database for Context RecognitionWorkshop