openmedical/registry
← registry

REAL-TIME-EMOTION-RECOGNITION-FROM-EEG-SIGNALS-USING-ONE-ELECTRODE-DEVICE

imported

devices/real-time-emotion-recognition-from-eeg-signals-using-one-electrode-device

REAL-TIME EMOTION RECOGNITION FROM EEG SIGNALS USING ONE ELECTRODE DEVICE

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

REAL-TIME-EMOTION-RECOGNITION-FROM-EEG-SIGNALS-USING-ONE-ELECTRODE-DEVICE project image
GitHub preview card for sarikayamehmet/REAL-TIME-EMOTION-RECOGNITION-FROM-EEG-SIGNALS-USING-ONE-ELECTRODE-DEVICE. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Devices & Hardware
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · eeg · emotion-recognition · machine-learning · mindwave · real-time
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.

  • Mindwaveeeg · mindwave

    🎧 Real-time data streaming from NeuroSky MindWave Mobile Headset

  • neurosky-android-sdkeeg · mindwave

    Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

  • brainscannereeg · real-time

    Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.

  • EEG-BCI-Careeg · real-time

    An EEG-based real-time brain-computer interface system for emergency vehicle takeover, integrating model training, offline inference, embedded hardware control, and GUI deployment.

  • AI-NLP-Paper-Readingseeg · emotion-recognition

    This is my reading list for my PhD in AI, NLP, Deep Learning and more.

  • AT-DGNNeeg · emotion-recognition

    [BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

sources
  1. api.github.com/repos/sarikayamehmet/REAL-TIME-EMOTION-RECOGNITION-FROM-EEG-SIGNALS-USING-ONE-ELECTRODE-DEVICE
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-02-23, 10 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/55.json→ .entries["real-time-emotion-recognition-from-eeg-signals-using-one-electrode-device"]

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