Abstract: In accordance with one aspect of the present invention, there is provided a gaze tracking apparatus using difference image entropy, comprising: image detection module for detecting user's eye region image from image of the user taken by picture-taking apparatus which is connected to the gaze tracking apparatus; image selection module for computing entropy value of difference image between the eye region image and a plurality of reference images respectively indicating each gazing direction and selecting reference image with least difference image entropy value among the plurality of reference images; and gaze tracking module for recognizing user's gazing direction by regarding gazing direction that the selected reference image indicates as user's gazing direction.

Abstract: Disclosed is a method of signal detection. A received input signal is divided into a frame unit and each input signal present in a first frame and a second frame is transformed into a frequency signal. Then, first power spectrum information and second power spectrum information are computed utilizing the transformed frequency signal and a delta spectrum entropy value corresponding to a difference of the two computed power spectrum information is obtained. A predetermined input signal is included in a predetermined frame among the input signal after judging through comparing the delta spectrum entropy value with a critical value. Desired signal can be detected in a noisy environment including a noise signal by using the delta spectrum entropy value.

Abstract: In accordance with one aspect of the present invention, there is provided a gaze tracking apparatus using difference image entropy, comprising: image detection module for detecting user's eye region image from image of the user taken by picture-taking apparatus which is connected to the gaze tracking apparatus; image selection module for computing entropy value of difference image between the eye region image and a plurality of reference images respectively indicating each gazing direction and selecting reference image with least difference image entropy value among the plurality of reference images; and gaze tracking module for recognizing user's gazing direction by regarding gazing direction that the selected reference image indicates as user's gazing direction.

Abstract: Disclosed is a method of signal detection. A received input signal is divided into a frame unit and each input signal present in a first frame and a second frame is transformed into a frequency signal. Then, first power spectrum information and second power spectrum information are computed utilizing the transformed frequency signal and a delta spectrum entropy value corresponding to a difference of the two computed power spectrum information is obtained. A predetermined input signal is included in a predetermined frame among the input signal after judging through comparing the delta spectrum entropy value with a critical value. Desired signal can be detected in a noisy environment including a noise signal by using the delta spectrum entropy value.