Cargando…
Hidden Semi-Markov Models to Segment Reading Phases from Eye Movements
Our objective is to analyze scanpaths acquired through participants achieving a reading task aiming at answering a binary question: Is the text related or not to some given target topic? We propose a data-driven method based on hidden semi-Markov chains to segment scanpaths into phases deduced from...
Autores principales: | Olivier, Brice, Guérin-Dugué, Anne, Durand, Jean-Baptiste |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bern Open Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292930/ https://www.ncbi.nlm.nih.gov/pubmed/37377767 http://dx.doi.org/10.16910/jemr.15.4.5 |
Ejemplares similares
-
biomvRhsmm: Genomic Segmentation with Hidden Semi-Markov Model
por: Du, Yang, et al.
Publicado: (2014) -
Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes
por: Nakamura, Tomoaki, et al.
Publicado: (2017) -
Characterising Eye Movement Events with an Unsupervised Hidden Markov Model
por: Lüken, Malte, et al.
Publicado: (2022) -
Eye movement analysis with hidden Markov models (EMHMM) with co-clustering
por: Hsiao, Janet H., et al.
Publicado: (2021) -
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models
por: Touloupou, Panayiota, et al.
Publicado: (2019)