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 Sweeney-Fanelli
- Last updated:
- DOI:
- 10.21227/d66d-y256
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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
