Patnaik, Lalith Mohan and et al, .
(2025)
Beauty aids: can AI improve human behaviours with imperfect data?
International Journal of Data Science, 10 (2).
pp. 119-135.
Full text not available from this repository.
| Abstract: |
This paper aims to examine whether AI can improve human behaviours with imperfect data. Beauty aids with the pretrained AI model is taken as a practical example. This model integrated fuzzy reasoning with ResNet-50 for facial beauty prediction (FBP) and real-time recommendations of makeup behaviours. Results shown that the AI model can provide beauty aids for people whose facial data have not be included during the pretraining process and improve their makeup behaviours. The difference between the maximal and minimal values amounts to 33.62, implying that the effect of beauty aids is evident. The cross validation with perfect data further also confirmed that the effects of increased makeup experiences are worthy of further attention. The recommended degree of powder makeup for the volunteer is 0.118~0.2, while that of lipstick and blush makeup is 0.034~0.2. As an emerging technique, potential evolutions of the real-time beauty aids system with AI and data science will bring out the long-term future of FBP research. |
| Item Type: |
Journal Paper
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| Subjects: |
School of Natural and Engineering Sciences > Others |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
28 Jan 2026 11:18 |
| Last Modified: |
28 Jan 2026 11:18 |
| Official URL: |
https://www.inderscienceonline.com/doi/abs/10.1504... |
| Related URLs: |
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| Funders: |
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| Projects: |
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| DOI: |
https://doi.org/10.1504/IJDS.2025.149851 |
| URI: |
http://eprints.nias.res.in/id/eprint/3050 |
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