Publication Type : Journal Article
Publisher : International Symposium on Intelligent Systems Technologies and Applications
Source : International Symposium on Intelligent Systems Technologies and Applications, Volume 38, p.1-12 (2020)
Url : https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179711#:~:text=Trail%20making%20test%20is%20a,during%20the%20visual%20search%20task.&text=The%20proposed%20Intelligent%20Gaze%20Tracking,on%20the%20extracted%20gaze%20featur
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : Trail making test is a cognitive impairment test used for understanding the visual attention during the visual search task. The classical paper pencil method measures the completion time of the participant and there was no mechanism for comparison across the participant with similar feature. The psychologist has to observe the reactions of the participants during the trial process and there is no mechanism to capture it. This study made an attempt to resolve the above problem and tried to infer additional parameters which can support psychologist to understand the participant performance in trail making test. The insight provided by the approach is to extract various features which helps a psychologist by providing individual profiling and group profiling of a person and can understand the group of people who show similar cognitive impairment while performing trail Making Test. The proposed Intelligent Gaze Tracking approach could classify the participant into three different groups like low, high and medium cognitive impairment based on the extracted gaze features. The proposed approach has been compared across existing literature survey to significantly show the advantage of the system in terms of identifying the people with similar characteristics in terms of cognitive impairment.
Cite this Research Publication : Jyotsna C, Amudha J., Rao, R., and Nayar, R., “Intelligent gaze tracking approach for trail making test”, International Symposium on Intelligent Systems Technologies and Applications, vol. 38, pp. 1-12, 2020.