Title | ||
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Transfer approach for the detection of missed task-relevant events in P300-based brain-computer interfaces |
Abstract | ||
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Detection of human cognitive states using biosignals such as the electroencephalogram (EEG) is gaining relevance in different application areas, e.g., teleoperation, human-robot collaboration, and rehabilitation. Especially, the P300, which is evoked as an event-related potential (ERP), when humans perceive task-relevant infrequent events among task-irrelevant frequent events, is widely used in brain-computer interfaces (BCIs). P300 detection has been used as an indicator that a human perceives task-relevant events or detects the occurrence of task-relevant or important events. In this paper, we focus on not only perceived task-relevant events but also not-perceived task-relevant events (i.e., missed events). In fact, a human can miss task-relevant events for different reasons, e.g., reduced attention level or increased workload level during parallel task-processing situations among others. Moreover, a human can also intentionally ignore task-relevant events to manage several simultaneous tasks. However, such missed events do not often occur in real-world applications. In this paper, we propose a transfer approach to handle insufficient number of events for training a classifier. For example, task-irrelevant infrequent events are used for training of classifier to detect missed task-relevant events. We evaluated our approach in different settings of training and testing a classifier with and without classifier transfer. |
Year | DOI | Venue |
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2019 | 10.1109/NER.2019.8717041 | 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) |
Keywords | Field | DocType |
missed task-relevant event detection,biosignals,electroencephalogram,EEG,P300 detection,task-irrelevant infrequent events,simultaneous tasks,parallel task-processing situations,not-perceived task-relevant events,task-irrelevant frequent events,task-relevant infrequent events,event-related potential,human-robot collaboration,human cognitive states,P300-based brain-computer interfaces,transfer approach | Computer science,Brain–computer interface,Human–computer interaction,Artificial intelligence,Machine learning | Conference |
ISSN | ISBN | Citations |
1948-3546 | 978-1-5386-7922-7 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
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Elsa Andrea Kirchner | 1 | 67 | 13.60 |
Su Kyoung Kim | 2 | 14 | 4.29 |