Brain-signal has been studied as an input modality for human-machine interface (HMI). Using Brain-signal-based HMI, people with impaired abilities can communicate with a machine by the brain's electrical activity. This study focused on Electro Encephalo Gram (EEG) signal measurement and analysis methods related to concentration for multimodal Interface. The experiments have been performed with various tasks. The result of this study showed there are some meaningful results about threshold, selfarithmetic and eye-close activity. It can be used as a modality for brain-achine interface.