A biological signal based eye movement tracking system using a dual machine learning structure, and an eye movement tracking method using the same. The bio-signal-based eye movement tracking system using the dual machine learning structure includes a bio-signal measurement unit 110 for detecting a bio-signal generated due to movement of an eyeball moving according to a user's gaze movement; A signal separator 120 for separating the bio-signal into a safety signal and an EMG signal according to a frequency range; The waveform of the safety signal is applied to the PLA technique to simplify a plurality of continuous line segments. The line segments are arranged in a feature set having a multidimensional vector shape, and then dual machine learning is applied to the feature set. A safety signal processor (130) for outputting a first processing signal including distance information according to the movement of the user's gaze; And applying the waveform of the EMG signal to the PLA technique to simplify the EMG signal into a plurality of consecutive lines, and comparing the amplitude value of the temporal muscle EMG signal at the time of the awake of the user among the plurality of line segments with a preset threshold value An electromyogram signal processor 140 for outputting a second processing signal for performing a mouse click when the amplitude value is greater than the threshold value; And a mouse driver 150 for moving the mouse cursor in response to the distance information of the first processing signal and for driving the click button of the mouse in response to the second processing signal.
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