Designing an Architecture for a Brain-Computer Interface Operating System: Addressing Neural Input Complexity

The unique complexities of neural inputs, such as signal variability, noise sensitivity, and multimodal integration, demand a specialized architecture for Brain-Computer Interface (BCI) Operating Systems. This paper proposes a modular, scalable, and real-time BCI OS designed to address these challen...

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Veröffentlicht in:	The ... International Winter Conference on Brain-Computer Interface S. 1 - 6
1. Verfasser:	Choi, Yunseok
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 24.02.2025
Schlagworte:	adaptive functionality Adaptive systems BCI OS Brain-computer interfaces Complexity theory Computer architecture edge computing lightweight AI Medical services modular design multimodal input integration Multisensory integration Operating systems real-time processing Real-time systems Synchronization Virtual reality
ISSN:	2572-7672
Online-Zugang:	Volltext
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