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neurofusion-emotion-fatigue-detection

imported

software/neurofusion-emotion-fatigue-detection

Multimodal AI framework for emotion and fatigue detection using EEG, fNIRS, ECG, and EMG biosignals with machine learning and deep learning techniques.

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

neurofusion-emotion-fatigue-detection project image
GitHub preview card for thrishikav9-del/neurofusion-emotion-fatigue-detection. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/thrishikav9-del/neurofusion-emotion-fatigue-detection
Documentation
unknown
Tags
biosignals · deep-learning · ecg · eeg · emg · emotion · emotionrecognition · fatigue-detection · fnir · healthcare-ai · machine-learning · pytho
Regulatory
unknown
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    A DIY single-channel biopotential recorder for ECG/EMG/EEG, built with discrete components.

  • EyeTracefatigue-detection

    An open-source toolkit extracting physiological and behavioral metrics from facial videos to assess fatigue, drowsiness, and cognitive load.

sources
  1. api.github.com/repos/thrishikav9-del/neurofusion-emotion-fatigue-detection
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-30, 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/46.json→ .entries["neurofusion-emotion-fatigue-detection"]

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