Towards Non-Surgical Brain-Computer Interfaces: A Novel Approach to Sensory Override and Projection

By

Colin Jackson
Lead Engineer, Abstergo LLC
"Keep moving forward."

Abstract

This paper outlines a groundbreaking approach to non-surgical Brain-Computer Interfaces (BCIs) that leverages advancements in brainwave detection and targeted sensory stimulation. The proposed system, housed within a small, sticker-like device, will demonstrate the capability to project controlled sensory experiences directly onto the user’s cortex without traditional visual or auditory stimuli. The paper discusses the theoretical foundation, technical design, and initial demonstration plan for a minimal viable product (MVP), providing a pathway to revolutionize immersive technologies, gaming, and therapeutic applications.

1. Introduction

Brain-Computer Interfaces (BCIs) have traditionally focused on the detection and output of brainwave data through electroencephalography (EEG) and other sensor modalities. Existing research, including those from Meta and OpenBCI, has demonstrated the efficacy of EEG caps in detecting brain signals for controlling external devices. However, the next frontier lies in creating seamless, non-surgical methods for inputting information back into the brain. This project proposes a compact, wearable device capable of inducing controlled sensory experiences by leveraging targeted low-frequency electromagnetic fields (EMFs) and resonance phenomena. This capability enables a new era of immersive gaming, therapeutic sensory modulation, and enhanced human-computer interaction.

2. Technical Foundation

2.1 Brainwave Detection
Modern BCIs have already demonstrated high-resolution brainwave output using wearable EEG sensors. By leveraging compact sensor arrays, such as those developed by OpenBCI, this project will miniaturize the technology into a sticker-sized device containing an embedded button sensor.

The technology’s foundation rests on:
- Signal Acquisition: Advanced electrodes capture neural oscillations across alpha (8–13 Hz), beta (13–30 Hz), gamma (30–100 Hz), delta (0.5–4 Hz), and theta (4–8 Hz) wave ranges.
- Signal Processing: AI-driven noise reduction algorithms improve signal fidelity.
- Wireless Transmission: Low-power Bluetooth transceivers ensure seamless data relay.

2.2 Brainwave Input and Sensory Override
The novel aspect of this research focuses on transmitting controlled signals back into the brain using low-frequency EMFs within safe, non-ionizing ranges.

Key Frequency Ranges and Resonances:
1. Schumann Resonance: 7.83 Hz (natural Earth resonance, linked to relaxation).
2. Gamma Frequency Induction: 40 Hz (potential for visual stimulation and focus).

Electromagnetic Safety Formula:
To ensure safety:
SAR = (σE^2) / ρ < 2.0 W/kg
where SAR is Specific Absorption Rate, σ is conductivity, E is electric field strength, and ρ is tissue density.

3. Hypothesis

We hypothesize that specific low-frequency EMF signals can override natural neural activity to induce artificial sensory states. These states form the foundation for full-spectrum sensory immersion. By beginning with visual cortex projection, we aim to transmit colors and shapes directly into the brain without external visual stimulation.

4. Device Design

4.1 Physical Design
The device will consist of a lightweight, adhesive patch containing:
- EEG sensor array.
- EMF emitter.
- Lithium-polymer microbattery.
- Bluetooth chip.

4.2 Functional Design
Two primary operational modes:
1. Detection Mode: Captures brainwave signals using EEG sensors.
2. Projection Mode: Emits low-frequency EMF pulses targeting specific brain regions, such as the visual cortex.

4.3 Structural Design Formula
The EMF emitter’s power requirement:
P = V * I
where P is power, V is voltage, and I is current. For portability, the device will operate at P < 0.5 W.

5. Application: Project Animus

5.1 Sensory Deprivation as a Baseline
Inducing a controlled sensory deprivation state ('Home') mimics REM sleep, creating a blank canvas for sensory projection.

5.2 Projection Process
1. Monochromatic Projection: Induce black, white, and primary colors through targeted frequencies.
2. Geometric Shapes: Modulate frequencies to create basic geometric shapes.
3. Dynamic Pixels: Combine shapes into multi-colored, moving images, building towards full visual scenes.

6. Demonstration Plan

6.1 Experimental Setup
- Participants: Three volunteers, screened for safety.
- Equipment: Three devices preloaded with calibrated EMF signal protocols.
- Procedure: Devices will transmit signals to induce the perception of black, white, red, green, and blue directly onto the visual cortex.

6.2 Expected Outcome
Participants will report perceiving distinct colors without any external visual or auditory input, proving the concept of direct sensory projection.

7. Mechanical and Engineering Considerations

Device Construction
- Material: Biocompatible polymers for the adhesive patch.
- Circuitry: Flexible printed circuit boards (FPCB) for compactness and durability.
- Thermal Management: Low-power design ensures minimal heat generation.

EMF Emission Modeling
The EMF field strength at distance d:
B = (μ0 * I) / (2πr)
where B is magnetic field strength, μ0 is magnetic permeability, I is current, and r is distance.

Power Supply Efficiency
Battery life optimization:
η = (P_out / P_in) * 100%
where η is efficiency, P_out is output power, and P_in is input power.

8. Conclusion

By integrating EEG detection with targeted EMF projection, this project seeks to redefine BCIs through non-surgical means. The MVP demonstration aims to establish a proof of concept, inspiring further research and investment in immersive technologies and therapeutic applications.