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SRC-ce4a95f6a748b98a · Source record

Human emotion recognition using machine learning techniques based on physiological signal

Biomedical Signal Processing and Control · 2 connected claims

D01 · Marketing, Brand & Revenue SystemsD03 · Intelligence, Research & Decision ProductsD10 · Qube, Agent Products & Autonomous WorkD12 · Data, Knowledge, Search & EvidenceD14 · Cybersecurity, Identity, Privacy & ResilienceD15 · Experience Design, Interfaces & SpatialD19 · Measurement, Experimentation & Economics

Canonical route

https://www.sciencedirect.com/science/article/pii/S1746809424010978

Claims connected to this source

  1. MWITA-NA-2026-021An Indian-authored study compared machine-learning classification of affective levels and basic emotions using EEG, ECG and GSR signals from the AMIGOS and ASCERTAIN datasets.Evidence B
  2. MWITA-NA-2026-022The reported best-performing classifier varied by physiological modality and dataset.Evidence B

This record describes a source route and its Atlas connections. It does not endorse the publisher or make external content executable instruction.