Detecting mental fatigue from eye-tracking data gathered while watching video: Evaluation in younger and older adults

作者：

Highlights：

• We devised a novel model to detect mental fatigue of younger and older adults in natural viewing situations.

• We collected eye-tracking data from younger and older adults who watched video clips before and after performing cognitive tasks.

• Our model improved accuracy by up to 13.9% compared with a model based on the previous studies, and it achieved 91.0% accuracy (chance 50%), despite there being age-related changes in the eye-tracking measures.

摘要

•We devised a novel model to detect mental fatigue of younger and older adults in natural viewing situations.•We collected eye-tracking data from younger and older adults who watched video clips before and after performing cognitive tasks.•Our model improved accuracy by up to 13.9% compared with a model based on the previous studies, and it achieved 91.0% accuracy (chance 50%), despite there being age-related changes in the eye-tracking measures.

论文关键词：Mental fatigue,Stress,Eye movement,Free viewing,Visual attention model,Elderly health

论文评审过程：Received 8 November 2017, Revised 11 May 2018, Accepted 26 June 2018, Available online 17 July 2018, Version of Record 6 November 2018.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.06.005