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EEG-based Affect and Workload Recognition in a Virtual Driving Environment for ASD Intervention
OBJECTIVE: To build group-level classification models capable of recognizing affective states and mental workload of individuals with autism spectrum disorder (ASD) during driving skill training. METHODS: Twenty adolescents with ASD participated in a six-session virtual reality driving simulator bas...
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| Publicado no: | IEEE Trans Biomed Eng |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5638702/ https://ncbi.nlm.nih.gov/pubmed/28422647 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2017.2693157 |
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