| _version_ | 1866901402045906944 |
|---|---|
| author | Yıldırım, Emirhan |
| author_facet | Yıldırım, Emirhan |
| contents | <p>Abstract</p> <p> </p> <p>A system and method for brain-computer interaction is disclosed, comprising a non-invasive neuro-magnetic sensor array for acquiring high-fidelity neural signals, a geometric inference processor, and a neurohaptic feedback device. The processor is configured to map the acquired neural signals onto a high-dimensional geometric state-space, hereinafter referred to as the General Reality Manifold (GRM), which represents the user's holistic cognitive and phenomenal state. The geometric properties of the state's trajectory on the GRM, including but not limited to local curvature and geodesic deviation, are then translated, via an Integrated Semiotic Framework (ISF), into a complex, meaningful, and non-arbitrary haptic feedback signal. This closed-loop system provides the user with an intuitive, somatic perception of their own internal state, thereby bridging the semantic gap inherent in prior art brain-computer interface (BCI) systems and providing a direct solution to the symbol grounding problem in neurotechnology</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17443801 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Geosemantic Neurohaptic Interface for Brain-Computer Interaction Yıldırım, Emirhan <p>Abstract</p> <p> </p> <p>A system and method for brain-computer interaction is disclosed, comprising a non-invasive neuro-magnetic sensor array for acquiring high-fidelity neural signals, a geometric inference processor, and a neurohaptic feedback device. The processor is configured to map the acquired neural signals onto a high-dimensional geometric state-space, hereinafter referred to as the General Reality Manifold (GRM), which represents the user's holistic cognitive and phenomenal state. The geometric properties of the state's trajectory on the GRM, including but not limited to local curvature and geodesic deviation, are then translated, via an Integrated Semiotic Framework (ISF), into a complex, meaningful, and non-arbitrary haptic feedback signal. This closed-loop system provides the user with an intuitive, somatic perception of their own internal state, thereby bridging the semantic gap inherent in prior art brain-computer interface (BCI) systems and providing a direct solution to the symbol grounding problem in neurotechnology</p> <p> </p> |
| title | Geosemantic Neurohaptic Interface for Brain-Computer Interaction |
| url | https://doi.org/10.5281/zenodo.17443801 |