Cargando…
Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research
BACKGROUND: Avoidance to look others in the eye is a characteristic symptom of Autism Spectrum Disorders (ASD), and it has been hypothesised that quantitative monitoring of gaze patterns could be useful to objectively evaluate treatments. However, tools to measure gaze behaviour on a regular basis a...
Autores principales: | Strobl, Maximilian A. R., Lipsmeier, Florian, Demenescu, Liliana R., Gossens, Christian, Lindemann, Michael, De Vos, Maarten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499948/ https://www.ncbi.nlm.nih.gov/pubmed/31053071 http://dx.doi.org/10.1186/s12938-019-0670-1 |
Ejemplares similares
-
Look me in the eyes: constraining gaze in the eye-region provokes abnormally high subcortical activation in autism
por: Hadjikhani, Nouchine, et al.
Publicado: (2017) -
Gait Characteristics Harvested during a Smartphone-Based Self-Administered 2-Minute Walk Test in People with Multiple Sclerosis: Test-Retest Reliability and Minimum Detectable Change
por: Bourke, Alan K., et al.
Publicado: (2020) -
Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones
por: Creagh, Andrew P., et al.
Publicado: (2021) -
Accelerating eye movement research via accurate and affordable smartphone eye tracking
por: Valliappan, Nachiappan, et al.
Publicado: (2020) -
Eye tracking in early autism research
por: Falck-Ytter, Terje, et al.
Publicado: (2013)