TY - GEN
T1 - Towards the development of a standardized performance evaluation framework for eye gaze estimation systems in consumer platforms
AU - Kar, Anuradha
AU - Corcoran, Peter
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/6
Y1 - 2017/2/6
N2 - There is a need to standardize the performance of eye gaze estimation (EGE) methods in various platforms for human computer interaction (HCI). Because of lack of consistent schemes or protocols for summative evaluation of EGE systems, performance results in this field can neither be compared nor reproduced with any consistency. In contemporary literature, gaze tracking accuracy is measured under non-identical sets of conditions, with variable metrics and most results do not report the impact of system meta-parameters that significantly affect tracking performances. In this work, the diverse nature of these research outcomes and system parameters which affect gaze tracking in different platforms is investigated and their error contributions are estimated quantitatively. Then the concept and development of a performance evaluation framework is proposed- that can define design criteria and benchmark quality measures for the eye gaze research community.
AB - There is a need to standardize the performance of eye gaze estimation (EGE) methods in various platforms for human computer interaction (HCI). Because of lack of consistent schemes or protocols for summative evaluation of EGE systems, performance results in this field can neither be compared nor reproduced with any consistency. In contemporary literature, gaze tracking accuracy is measured under non-identical sets of conditions, with variable metrics and most results do not report the impact of system meta-parameters that significantly affect tracking performances. In this work, the diverse nature of these research outcomes and system parameters which affect gaze tracking in different platforms is investigated and their error contributions are estimated quantitatively. Then the concept and development of a performance evaluation framework is proposed- that can define design criteria and benchmark quality measures for the eye gaze research community.
UR - https://www.scopus.com/pages/publications/85015761809
U2 - 10.1109/SMC.2016.7844543
DO - 10.1109/SMC.2016.7844543
M3 - Conference Publication
AN - SCOPUS:85015761809
T3 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
SP - 2061
EP - 2066
BT - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Y2 - 9 October 2016 through 12 October 2016
ER -