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Automating Areas of Interest Analysis in Mobile Eye Tracking Experiments based on Machine Learning
For an in-depth, AOI-based analysis of mobile eye tracking data, a preceding gaze assign-ment step is inevitable. Current solutions such as manual gaze mapping or marker-based approaches are tedious and not suitable for applications manipulating tangible objects. This makes mobile eye tracking studi...
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| Publicado en: | J Eye Mov Res |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Bern Open Publishing
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7909988/ https://ncbi.nlm.nih.gov/pubmed/33828716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.16910/jemr.11.6.6 |
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