Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A key issue with state-of-the-art mobile eye trackers, particularly during long-term recordings in daily life, is the need for cumbersome and time consuming (re)calibration. To reduce this burden, in this paper  investigate the feasibility of adapting the calibration obtained for one user to another. Calibration adaptation is automatically performed using a light-ight linear translation.  compare three different methods to compute the translation: "multi-point", where all calibration-points are used, "1-point", and "0-point" that uses only an external parameter.  evaluate these methods in a 6-participant user study in a controlled laboratory setting by measuring the error in visual angle beten the predicted gaze point and the true gaze point. Our results show that, averaged across all participants, the best adapted calibration is only 0.8° (mean) off the calibration obtained for that specific user.  also show the potential of the 1-point and 0-point methods compared to the time-consuming multi-point computation.
['Benedict C.O.F. Fehringer', 'Andreas Bulling', 'Antonio Krüger']
I am writing a research paper on a idea Analysing the potential of adapting head-mounted eye tracker calibration to a new user
[{"from": "human", "value": "I am writing a research paper on a idea Analysing the potential of adapting head-mounted eye tracker calibration to a new user"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A key issue with state-of-the-art mobile eye trackers, particularly during long-term recordings in daily life, is the need for cumbersome and time consuming (re)calibration. To reduce this burden, in this paper  investigate the feasibility of adapting the calibration obtained for one user to another. Calibration adaptation is automatically performed using a light-ight linear translation.  compare three different methods to compute the translation: \"multi-point\", where all calibration-points are used, \"1-point\", and \"0-point\" that uses only an external parameter.  evaluate these methods in a 6-participant user study in a controlled laboratory setting by measuring the error in visual angle beten the predicted gaze point and the true gaze point. Our results show that, averaged across all participants, the best adapted calibration is only 0.8\u00b0 (mean) off the calibration obtained for that specific user.  also show the potential of the 1-point and 0-point methods compared to the time-consuming multi-point computation."}]