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SSVEPcharacterization

imported

software/ssvepcharacterization

Data and code for the metrological characterization of a low-cost wearable brain-computer interface

Machine-generated from the listed sources and not yet reviewed by a human.

SSVEPcharacterization project image
GitHub preview card for anthonyesp/SSVEPcharacterization. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/anthonyesp/SSVEPcharacterization
Documentation
unknown
Tags
brain-computer-interface · calibration · characterization · eeg · extended-reality · low-cost · matlab · optical · smart-glasses · ssvep · testing · wearable
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • aawedhabrain-computer-interface · eeg · ssvep

    Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking

  • bci_toolboxbrain-computer-interface · eeg · ssvep

    Classification toolbox for ERP and SSVEP based BCI data

  • channel_selectionbrain-computer-interface · eeg · wearable

    Some studies regarding the selection of optimal channels in a BCI based on motor imagery

  • low_density_eeg_asrbrain-computer-interface · eeg · wearable

    sharing code and data for artifact removal in EEG

  • Mission-Control-MRI-VRextended-reality

    A McGill hackathon-winning VR simulation designed for children to practice stillness during an MRI.

sources
  1. api.github.com/repos/anthonyesp/SSVEPcharacterization
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-07-12, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/35.json→ .entries["ssvepcharacterization"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.