ArticleFrontiers in neuroscience2017
Affective Stimuli for an Auditory P300 Brain-Computer Interface.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Event-Related Potential-Based Brain-Computer Interface Using the Thai Vowels' and Numerals' Auditory Stimulus Pattern.Sensors (Basel, Switzerland) · 2022Article
- Auditory event-related potentials based on name stimuli: A pilot study.Frontiers in neuroscience · 2022Article
- Effect of Static Posture on Online Performance of P300-Based BCIs for TV Control.Sensors (Basel, Switzerland) · 2021Article
- Effect of Distracting Background Speech in an Auditory Brain-Computer Interface.Brain sciences · 2021Article
- Effects of Emotional Stimulations on the Online Operation of a P300-Based Brain-Computer Interface.Frontiers in human neuroscience · 2021Article
- The Study of Influence of Sound on Visual ERP-Based Brain Computer Interface.Sensors (Basel, Switzerland) · 2020Article
- Neural mechanisms of training an auditory event-related potential task in a brain-computer interface context.Human brain mapping · 2019Article
- Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer Interfaces.Frontiers in human neuroscience · 2019Article
- How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs?Frontiers in neuroscience · 2019Article
- Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors.Sensors (Basel, Switzerland) · 2018Article
- Effect of Different Movement Speed Modes on Human Action Observation: An EEG Study.Frontiers in neuroscience · 2018Article
- Comparison of Four Control Methods for a Five-Choice Assistive Technology.Frontiers in human neuroscience · 2018Article
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Authors and funding
5 authors.
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Abstract
Gaze-independent brain computer interfaces (BCIs) are a potential communication tool for persons with paralysis. This study applies affective auditory stimuli to investigate their effects using a P300 BCI. Fifteen able-bodied participants operated the P300 BCI, with positive and negative affective sounds (PA: a meowing cat sound, NA: a screaming cat sound). Permuted stimuli of the positive and negative affective sounds (permuted-PA, permuted-NA) were also used for comparison. Electroencephalography data was collected, and offline classification accuracies were compared. We used a visual analog scale (VAS) to measure positive and negative affective feelings in the participants. The mean classification accuracies were 84.7% for PA and 67.3% for permuted-PA, while the VAS scores were 58.5 for PA and -12.1 for permuted-PA. The positive affective stimulus showed significantly higher accuracy and VAS scores than the negative affective stimulus. In contrast, mean classification accuracies were 77.3% for NA and 76.0% for permuted-NA, while the VAS scores were -50.0 for NA and -39.2 for permuted NA, which are not significantly different. We determined that a positive affective stimulus with accompanying positive affective feelings significantly improved BCI accuracy. Additionally, an ALS patient achieved 90% online classification accuracy. These results suggest that affective stimuli may be useful for preparing a practical auditory BCI system for patients with disabilities.
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