Characterising Eye Movement Events with an Unsupervised Hidden Markov Model.

Publication Year: 2022

DOI:
10.16910/jemr.15.1.4

PMCID:
PMC10076077

PMID:
37032712

Journal Information

Full Title: J Eye Mov Res

Abbreviation: J Eye Mov Res

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Ophthalmology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Evidence found in paper:

"the algorithm is available on github (https://github com/maltelueken/gazehmm) .; we conducted a parameter recovery study that is also available on github (https://github com/maltelueken/gazehmm_validation) showing that the model recovers parameters well when the noise level is not too high. the other two parts which address starting values and missing data can be found in the supplementary material https://github com/maltelueken/gazehmm_validation) ."

Evidence found in paper:

"Ethics and Conflict of Interest The author(s) declare(s) that the contents of the article are in agreement with the ethics described in http://biblio.unibe.ch/portale/elibrary/BOP/jemr/ethics.html and that there is no conflict of interest regarding the publication of this paper."

Evidence found in paper:

"Šimon Kucharský was supported by the NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) grant no. 406.10.559."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025