Non-Invasive Brain-Computer Interfaces (BCI)

Compact, non-invasive, all-in-one devices integrating advanced BCI chips and AI, capable of translating EEG signals into text and controlling mobile applications or AR glasses using brain signals. Includes real-time, multi-dimensional mental state detection (workload, error, focus, intent) for context-aware neuroadaptive interaction, and identity verification using unique brainwave signatures (neural pattern authentication).
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Non-Invasive Brain-Computer Interfaces (BCI)

Non-invasive brain-computer interfaces use electroencephalography (EEG) sensors to detect and interpret electrical brain activity through the scalp, enabling direct mental control of digital devices without surgical implantation. These systems employ advanced signal processing and machine learning to decode brainwave patterns in real-time, allowing users to control applications, type text through thought, and interact with AR/VR environments. Modern BCIs can detect multiple mental states simultaneously—cognitive workload, attention, emotions, and intentional commands—enabling adaptive interfaces that respond to the user's mental state.

Applications include gaming, accessibility for motor impairments, productivity tools, meditation training, and hands-free device control. The technology also enables biometric authentication using unique brainwave signatures. Recent advances in dry electrodes, miniaturization, and edge AI have made these systems more comfortable and practical for everyday consumer use.

Technology Readiness Level
5/9Validated
Category
Advanced Interaction Modalities

Connections

Advanced Interaction Modalities
Advanced Interaction Modalities
Full-Cortical Brain Interfaces

Safe, scalable, full-cortical brain interfaces to restore neurological function and power AI with high-fidelity neural data.

Technology Readiness Level
4/9
Wearables Health Sensing
On-Device AI Bio-Signal Processing

Semiconductor-based on-device AI bio-signal processing solutions analyzing and interpreting biometric signals from sensors, minimizing cloud dependence for real-time, low-power, security-focused medical devices.

Technology Readiness Level
4/9

Envisioning is an emerging technology research institute and advisory.

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2011 — 2026

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