1. An apparatus for measuring movements of a user by using an electroencephalogram (EEG) sensor and an electromyogram (EMG) sensor, which comprising: a sample pattern storing unit for storing one or more sample patterns which are obtained by patterning EEG waveforms and EMG values; a communication unit for receiving an EEG waveform and an EMG value of the user measured by the EEG and EMG sensors; a pattern normalizing unit for selecting sample patterns with the highest similarity to the received user's EEG waveform and EMG value among the stored sample patterns, and for normalizing the received EEG waveform and EMG value so that their amplitudes and periods coincide with those of the selected sample patterns; a movement estimating unit for estimating movement of the user by inputting the normalized EEG waveform and EMG value in an artificial neural network algorithm; and a movement determining unit for determining the user's movement by applying each weight value of the EEG and EMG to each movement estimation value.