Publication
Title
ColEmo : a flexible open source software interface for collecting emotion data
Author
Abstract
Data collection is a critical challenge in Emotion Recognition (ER), especially as demand grows for in-the-wild data that includes contextual information. The collection of data is continuously needed to investigate new ER modalities, sensors, stimuli, models, and methods. This necessitates the development of tools and frameworks that facilitate emotion data collection. In this paper, we introduce ColEmo, an open-source software interface for collecting emotion data. ColEmo was developed using Flutter allowing it to be compiled for both desktop and mobile devices. The architecture and interface of ColEmo provides a high degree of flexibility to be customized or extended to suit specific experiment requirements. We tested ColEmo in an ER data collection study which was extended to include Voice Activity Detection (VAD) and motion context, demonstrating its effectiveness in lab environments. Further investigation is recommended to evaluate ColEmo’s potential for in-the-wild data collection setups.
Language
English
Source (book)
2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 10-13 September, 2023, Cambridge, MA, USA
Publication
IEEE , 2023
ISBN
979-83-503-2745-8
DOI
10.1109/ACIIW59127.2023.10388161
Volume/pages
p. 1-8
ISI
001161364800059
Full text (Publisher's DOI)
Full text (open access)
The author-created version that incorporates referee comments and is the accepted for publication version Available from 16.07.2024
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
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Affiliation
Publications with a UAntwerp address
External links
Record
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Creation 22.03.2024
Last edited 08.04.2024
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