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- W3139076757 abstract "The work in this paper introduces a platform that is able to visualize eye gaze data. The platform introduces two different directions or algorithms. The first is for videos with heat-map to convert the heat map data into raw numbers. The algorithm takes the video containing the heat map and cuts it into frames. In each frame, it locates the position of the heat-map by searching for the specific colour values and then displaying the position of heat-map in each frame. The algorithm also calculates the fixation points and how long each fixation was for the entirety of the video. The second algorithm is to do the opposite of the first and that is by converting the raw data of eye-movement to a heat map. We are also providing visualization platform for eye-tracking data." @default.
- W3139076757 created "2021-03-29" @default.
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- W3139076757 date "2020-09-01" @default.
- W3139076757 modified "2023-09-26" @default.
- W3139076757 title "Eye-To-Eye: Towards Visualizing Eye Gaze Data" @default.
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- W3139076757 doi "https://doi.org/10.1109/iv51561.2020.00128" @default.
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