Assesment of Pain in Mouse Facial Images

Date

2016-11-05

Author

ERAL, Mustafa
ÇAKIR AKTAŞ, Canan
EREN KOÇAK, EMİNE
DALKARA, TURGAY
Halıcı, Uğur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Analysing mouse behavior in medical experiments to determine adverse effects of medical drugs requires special expertise and it is a time consuming tedious task. Automatic scaling of facial pain mimics in mice are important for a fast and objective labeling. Although there exists a manual procedure for scaling mouse facial pain expression, a full automatic method does not exist yet. In this paper, a computational method is proposed for assesment of pain through facial exressions of mouses in experiments where pain paradigms are applied. For this purpose, mouse face regions in videos were extracted manually frame by frame and also their pain scales were labeled by experts in order to construct a data set. Then, this data set were used for training a neural network using deep learning. The results obtained in this preliminary study, where a limited dataset of still images was used, are quite encouraging. Our studies in order to make our results more reliable and to devolope a fully automatic approach for scaling mouse grimace in videos are still going on.

Subject Keywords

Artificial neural networks, Deep learning, Convolutional networks, Mouse grimace scaling

URI

https://hdl.handle.net/11511/53877

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Department of Electrical and Electronics Engineering, Conference / Seminar