In this paper, we present an innovative deep neural architecture employing parameter randomization in a complex classification model for emotion recognition. Actually, randomized deep neural networks represent an interesting alternative to exploring the efficiency-to-accuracy balance in real-life applications. Moreover, we also introduce the use of input frames composed of 468 facial landmarks coordinates and an innovative sampling procedure avoiding padding. The proposed randomized classifier is trained for emotion recognition on video sequences and the related accuracy is compared with a non-randomized version of the same model and with well-known benchmark architectures, demonstrating the robustness of the proposed approach in terms of classification accuracy and training time.

A randomized deep neural network for emotion recognition with landmarks detection / Di Luzio, F.; Rosato, A.; Panella, M.. - In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. - ISSN 1746-8094. - 81:(2023), pp. 1-9. [10.1016/j.bspc.2022.104418]

A randomized deep neural network for emotion recognition with landmarks detection

Di Luzio F.;Rosato A.;Panella M.
2023

Abstract

In this paper, we present an innovative deep neural architecture employing parameter randomization in a complex classification model for emotion recognition. Actually, randomized deep neural networks represent an interesting alternative to exploring the efficiency-to-accuracy balance in real-life applications. Moreover, we also introduce the use of input frames composed of 468 facial landmarks coordinates and an innovative sampling procedure avoiding padding. The proposed randomized classifier is trained for emotion recognition on video sequences and the related accuracy is compared with a non-randomized version of the same model and with well-known benchmark architectures, demonstrating the robustness of the proposed approach in terms of classification accuracy and training time.
2023
deep learning; emotion recognition; facial landmarks; randomized neural networks; video sequences
01 Pubblicazione su rivista::01a Articolo in rivista
A randomized deep neural network for emotion recognition with landmarks detection / Di Luzio, F.; Rosato, A.; Panella, M.. - In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. - ISSN 1746-8094. - 81:(2023), pp. 1-9. [10.1016/j.bspc.2022.104418]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1664070
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