The purpose of this study is to characterize differences in EEG collected under stationary conditions and that collected in mobile settings. EEG activity has not been evaluated in operational settings due to difficulties associated with processing of EEG in real-world settings such as real-time removal of artifacts, operational environments, and possible differences in EEG frequency associated with mobility. Utilization of EEG measures of cognitive activity in dynamic environments demands the use of real-time algorithms of signal decontamination and characterization of specific components of EEG activity. In this study, EEG was collected and filtered in real-time in a set of controlled stationary scenarios and similar mobile scenarios in order to characterize differences in EEG power, electrode locations, and individual differences under mobility while participants performed tasks of variable difficulty. Results illustrate that the lack of systematic differences in EEG spectral power associated with mobility may point to feasibility of successful collection and analysis of EEG activity in such settings.