Neal S Hinvest, Chris Ashwin, Felix Carter, James Hook, Laura G E Smith, George Stothart
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引用次数: 5
Abstract
A goal of brain-computer-interface (BCI) research is to accurately classify participants' emotional status via objective measurements. While there has been a growth in EEG-BCI literature tackling this issue, there exist methodological limitations that undermine its ability to reach conclusions. These include both the nature of the stimuli used to induce emotions and the steps used to process and analyze the data. To highlight and overcome these limitations we appraised whether previous literature using commonly used, widely available, datasets is purportedly classifying between emotions based on emotion-related signals of interest and/or non-emotional artifacts. Subsequently, we propose new methods based on empirically driven, scientifically rigorous, foundations. We close by providing guidance to any researcher involved or wanting to work within this dynamic research field.
期刊介绍:
Social Neuroscience features original empirical Research Papers as well as targeted Reviews, Commentaries and Fast Track Brief Reports that examine how the brain mediates social behavior, social cognition, social interactions and relationships, group social dynamics, and related topics that deal with social/interpersonal psychology and neurobiology. Multi-paper symposia and special topic issues are organized and presented regularly as well.
The goal of Social Neuroscience is to provide a place to publish empirical articles that intend to further our understanding of the neural mechanisms contributing to the development and maintenance of social behaviors, or to understanding how these mechanisms are disrupted in clinical disorders.