Clarkson University Affective Dataset (CUADS)

Sweeney-Fanelli, Timothy;Ahmed, Ajan;Imtiaz, Masudul

Description

The Clarkson University Affective Data Set (CUADS) is a multi-modal affective dataset designed to assist in machine learning model development for automated emotion recognition. CUADS provides electrocardiogram, photoplethysmogram, and galvanic skin response data from 38 participants, captured under controlled conditions using Shimmer3 ECG and GSR sensors. ECG, GSR and PPG signals were recorded while each participant viewed and rated 20 affective movie clips. CUADS also provides big five personality traits for each participant. All data have been anonymized to protect participant privacy.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.6

FAIR Score

58%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Cardiology and Cardiovascular Medicine

Field

Medicine

Domain

Health Sciences

Confidence Score

48%

Source

Scholar Data Model

Normalization Factors

FT

63.46

CTw

1.00

MTw

1.00