This standard establishes a system-level framework, evaluation criteria, and best-practice guidelines for integrating Artificial Intelligence Generated Content (AIGC) technologies with multimodal Brain-Computer Interface (BCI) systems. The scope includes: 1) Reference architecture for multimodal BCI decoding foundation models that concurrently process neural, physiological, and contextual signals (e.g., Electroencephalography (EEG), functional Near-Infrared Spectroscopy (fNIRS), Electromyography (EMG), eye-tracking, speech) using generative neural networks. 2) Standardized paradigms and data schemas for multimodal BCI decoding tasks, covering stimulus design, synchronization protocols, and cross-modal alignment procedures. 3) AIGC-driven signal augmentation and synthesis methods–including generative adversarial networks (GANs), diffusion models, and large language models (LLMs)–to enhance data quality, expand training corpora, and mitigate class imbalance while preserving neurological fidelity. 4) Evaluation metrics and benchmarking datasets for assessing fidelity, latency, robustness, and user-level generalization of AIGC-enhanced BCI systems across laboratory, clinical, and real-world environments. 5) Privacy, safety, and ethical requirements for responsible deployment of generative models in BCI applications, including synthetic data governance, adversarial attack resilience, and human-in-the-loop oversight. 6) Conformance test procedures and documentation templates to facilitate interoperability among hardware, software, and cloud-based AIGC-BCI platforms.
- Standard Committee
- CTS/ETSC - Emerging Technology Standards Committee
- Status
- Active PAR
- PAR Approval
- 2025-09-10
Working Group Details
- Society
- IEEE Consumer Technology Society
- Standard Committee
- CTS/ETSC - Emerging Technology Standards Committee
- Working Group
-
AIGC-BCI - Artificial Intelligence Generated Content for Mutimodal Brain-Computer Interface
- IEEE Program Manager
- Soo Kim
Contact Soo Kim - Working Group Chair
- Shuqiang Wang
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