Datamining Approach on Emotion
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This project employed machine learning to see if using ECG/EDA with fNIRS data can successfully categorize human emotion. Result showed 93.39% accuracy. Currently submitted to HCI conference.
- Researchers: Danushka Bandara, Stephen Song, Leanne Hirshfield
- Funder: Newhouse Endowment
