Application specific tuning has been shown to be beneficial for a variety of platforms, sensor-based systems are no exception. However, accurately capturing external stimuli or modeling application specific stimuli remains a challenge. Tuning a sensor-based system to erroneous or incomplete application information can limit the optimization achieved or even negatively impact the resulting system performance. We propose to obtain accurate application stimuli by dynamically observing the sensor-based system in the intended deployment location, storing application characteristics for later analysis or optimization.