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In this paper a grip-force tracking system for analysis of human grasping and sensory-motor control is presented. A grip-measuring device was developed to assess forces during grasping. The device was used as an input to a tracking task where the subject applied grip-force according to the visual feedback from the computer screen. The system was used in connection with electroencephalographic (EEG) measurements to obtain information on brain activity during the grip-force tracking. Activation of different brain regions was analysed through frequency and correlation analysis. The coherence of the activity in visual and sensorimotor cortical regions is analysed in the paper. The results show high increase of correlation of alpha and beta-1 signals between these regions of the brain during the active phase. The correlation of the signals is reduced during the rest phase.