ML Anthology

Detection of ADHD Based on Eye Movements During Natural Viewing

Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger
ECML-PKDD 2022 pp. 403-418
doi:10.1007/978-3-031-26422-1_25 /ecmlpkdd/2022/deng2022ecmlpkdd-detection/

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individual’s viewing behavior, reflected in their eye movements, is directly related to attentional mechanisms and higher-order cognitive processes. We therefore explore whether ADHD can be detected based on recorded eye movements together with information about the video stimulus in a free-viewing task. To this end, we develop an end-to-end deep learning-based sequence model which we pre-train on a related task for which more data are available. We find that the method is in fact able to detect ADHD and outperforms relevant baselines. We investigate the relevance of the input features in an ablation study. Interestingly, we find that the model’s performance is closely related to the content of the video, which provides insights for future experimental designs.

PDF ECML-PKDD Semantic Scholar

Cite

Text

Deng et al. "Detection of ADHD Based on Eye Movements During Natural Viewing." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26422-1_25

Markdown

[Deng et al. "Detection of ADHD Based on Eye Movements During Natural Viewing." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/deng2022ecmlpkdd-detection/) doi:10.1007/978-3-031-26422-1_25

BibTeX

@inproceedings{deng2022ecmlpkdd-detection,
  title     = {{Detection of ADHD Based on Eye Movements During Natural Viewing}},
  author    = {Deng, Shuwen and Prasse, Paul and Reich, David R. and Dziemian, Sabine and Stegenwallner-Schütz, Maja and Krakowczyk, Daniel and Makowski, Silvia and Langer, Nicolas and Scheffer, Tobias and Jäger, Lena A.},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {403-418},
  doi       = {10.1007/978-3-031-26422-1_25},
  url       = {https://mlanthology.org/ecmlpkdd/2022/deng2022ecmlpkdd-detection/}
}