| Creators: |
Gebele, Jens and Brune, Philipp and Schwab, Frank and von Mammen, Sebastian |
| Title: |
Assessing Sequential Databases for Spontaneous and Posed Facial Expression Recognition |
| Item Type: |
Conference or Workshop Item |
| Event Title: |
(Proceedings of the) 58th Hawaii International Conference on System Sciences (HICSS) |
| Event Location: |
Waikoloa, HI, USA |
| Event Dates: |
January, 7-10, 2025 |
| Projects: |
TTZ-GZ |
| Date: |
7 January 2025 |
| Divisions: |
Informationsmanagement |
| Abstract (ENG): |
Advancements in AI for recognizing facial expressions of emotion rely heavily on the quality of underlying data. We present a comparative analysis of sequential databases for spontaneous (real) and posed (fake) facial expressions, introducing a modular, metric-based framework for evaluating data quality. This framework allows for flexible selection and weighting of metrics, making it adaptable to a wide range of research needs. Applied to 13 databases, it identifies key characteristics of an ideal data set, particularly for AI systems that distinguish between spontaneous and posed facial expressions. Our findings offer practical solutions to optimize data quality, laying a foundation for ensuring high-quality data in future emotion recognition research. |
| Forthcoming: |
No |
| Language: |
English |
| Uncontrolled Keywords: |
Human-AI Collaborations and Ethical Issues, Affective computing, Database Quality, Emotion Recognition, Facial Expression Recognition |
| Citation: |
Gebele, Jens and Brune, Philipp and Schwab, Frank and von Mammen, Sebastian
(2025)
Assessing Sequential Databases for Spontaneous and Posed Facial Expression Recognition.
In: (Proceedings of the) 58th Hawaii International Conference on System Sciences (HICSS), January, 7-10, 2025, Waikoloa, HI, USA.
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