Clarkson University Affective Dataset (CUADS)

Citation Author(s):
Timothy
Sweeney-Fanelli
Clarkson University, Affects AI LLC
Ajan
Ahmed
Clarkson University
Masudul
Imtiaz
Clarkson University
Submitted by:
Timothy C Sween...
Last updated:
Sun, 01/26/2025 - 10:46
DOI:
10.21227/d66d-y256
License:
0
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Abstract 

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.

Instructions: 

Access instructions will be provided after the EULA is completed and returned to a member of the research team. Example code and scripts may be found in our github repository: https://github.com/affectsai/cuads_dataset

Documentation