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Marcelo Feighelstein, Ilan Shimshoni, Lauren R. Finka, Stélio Pacca Loureiro Luna, Daniel Simon Mills, Anna Zamansky
Facial expressions in non-human animals are closely linked to their internal affective states, with the majority of empirical work focusing on facial shape changes associated with pain. However, existing tools for facial expression analysis are prone to human subjectivity and bias, and in many cases also require special expertise and training. This paper presents the first comparative study of two different paths towards automatizing pain recognition in facial images of domestic short haired cats (n = 29), captured during ovariohysterectomy at different time points corresponding to varying intensities of pain. One approach is based on convolutional neural networks (ResNet50), while the other-on machine learning models based on geometric landmarks analysis inspired by species specific Facial Action Coding Systems (i.e. catFACS). Both types of approaches reach comparable accuracy of above 72%, indicating their potential usefulness as a basis for automating cat pain detection from images.
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Feighelstein, M., Shimshoni, I., Finka, L. R., Luna, S. P. L., Mills, D. S., & Zamansky, A. (2022). Automated recognition of pain in cats. Scientific Reports, 12(1), 9575. https://doi.org/10.1038/s41598-022-13348-1
Feighelstein, Marcelo, et al. "Automated recognition of pain in cats." Scientific Reports, vol. 12, no. 1, 2022, pp. 9575, https://doi.org/10.1038/s41598-022-13348-1.
Feighelstein, Marcelo, Ilan Shimshoni, Lauren R. Finka, Stélio Pacca Loureiro Luna, Daniel Simon Mills, and Anna Zamansky. "Automated recognition of pain in cats." Scientific Reports 12, no. 1 (2022): 9575. https://doi.org/10.1038/s41598-022-13348-1.
Feighelstein M., Shimshoni I., Finka L. R. [и др.] Automated recognition of pain in cats // Scientific Reports. — 2022. — Vol. 12, № 1. — P. 9575. — URL: https://doi.org/10.1038/s41598-022-13348-1
@article{feighelstein2022automated,
title = {{Automated recognition of pain in cats}},
author = {Marcelo Feighelstein and Ilan Shimshoni and Lauren R. Finka and Stélio Pacca Loureiro Luna and Daniel Simon Mills and Anna Zamansky},
journal = {Scientific Reports},
year = {2022},
volume = {12},
number = {1},
pages = {9575},
doi = {10.1038/s41598-022-13348-1},
url = {https://doi.org/10.1038/s41598-022-13348-1}
}TY - JOUR AU - Feighelstein, Marcelo AU - Shimshoni, Ilan AU - Finka, Lauren R. AU - Luna, Stélio Pacca Loureiro AU - Mills, Daniel Simon AU - Zamansky, Anna TI - Automated recognition of pain in cats JO - Scientific Reports VL - 12 IS - 1 SP - 9575 PY - 2022 DA - 2022/06/10 DO - 10.1038/s41598-022-13348-1 UR - https://doi.org/10.1038/s41598-022-13348-1 ER -
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