Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM

Huarote Zegarra Raúl Eduardo; Vega Luján Yensi; Flores Masías Edward José; Katherine Susan Llanos Chacaltana; Díaz Reátegui Mónica; Lévano Stella Miguel Alfredo

doi:10.18687/LEIRD2022.1.1.80

Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM

Translated title of the contribution: Strategy for the detection of types of facial gestures using SOM neural network

Huarote Zegarra Raúl Eduardo
, Vega Luján Yensi
, Flores Masías Edward José
, Katherine Susan Llanos Chacaltana
, Díaz Reátegui Mónica
, Lévano Stella Miguel Alfredo

Universidad Nacional Tecnológica De Lima Sur
Universidad Nacional de Trujillo
Universidad Nacional Federico Villarreal
Universidad Privada del Norte
Universidad Norbert Wiener

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This research aims to cover a need to be able to classify gestures, specifically the gestures of people's faces, which reflects the emotions of each person such as anger, fear, happiness and sadness. To be able to identify these gestures, it is necessary to apply a strategy, which is to prepare the digital image matrices in a sequence, such as converting to gray tone, finding the orientation, applying the sobel and medfilt2 algorithm, so that this result can enter to a SOM neural network and be able to be classified according to the gestures. Labeling as 0 to anger, 1 to fear, 2 to happiness and 3 to sadness. To corroborate this strategy, a public database of faces has been taken, being 160 images of faces for the training and for the tests 15 images were used that were not part of the training and each image obtained in .jpg format in different dimensions, achieving demonstrate with this strategy an affectivity of 96.0% certainty in the identification of gestures.

Translated title of the contribution	Strategy for the detection of types of facial gestures using SOM neural network
Original language	Spanish
Title of host publication	Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
Subtitle of host publication	Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022
Editors	Maria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
ISBN (Electronic)	9786289520736
DOIs	https://doi.org/10.18687/LEIRD2022.1.1.80
State	Published - 2022
Event	2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022 - Virtual, Online, Colombia Duration: 6 Dec 2022 → 7 Dec 2022

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2022-December
ISSN (Electronic)	2414-6390

Conference

Conference	2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022
Country/Territory	Colombia
City	Virtual, Online
Period	6/12/22 → 7/12/22

Access to Document

10.18687/LEIRD2022.1.1.80

Cite this

Raúl Eduardo, H. Z., Yensi, V. L., Edward José, F. M., Llanos Chacaltana, K. S., Mónica, D. R., & Miguel Alfredo, L. S. (2022). Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM. In M. M. Larrondo Petrie, J. Texier, & R. A. R. Matta (Eds.), Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-December). https://doi.org/10.18687/LEIRD2022.1.1.80

Raúl Eduardo, Huarote Zegarra ; Yensi, Vega Luján ; Edward José, Flores Masías et al. / Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM. Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. editor / Maria M. Larrondo Petrie ; Jose Texier ; Rodolfo Andres Rivas Matta. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{f8d6fec14a6944f5a4ee6ad134589a27,

title = "Estrategia para la detecci{\'o}n de tipos de gestos faciales usando red neuronal SOM",

abstract = "This research aims to cover a need to be able to classify gestures, specifically the gestures of people's faces, which reflects the emotions of each person such as anger, fear, happiness and sadness. To be able to identify these gestures, it is necessary to apply a strategy, which is to prepare the digital image matrices in a sequence, such as converting to gray tone, finding the orientation, applying the sobel and medfilt2 algorithm, so that this result can enter to a SOM neural network and be able to be classified according to the gestures. Labeling as 0 to anger, 1 to fear, 2 to happiness and 3 to sadness. To corroborate this strategy, a public database of faces has been taken, being 160 images of faces for the training and for the tests 15 images were used that were not part of the training and each image obtained in .jpg format in different dimensions, achieving demonstrate with this strategy an affectivity of 96.0\% certainty in the identification of gestures.",

keywords = "SOM neural network, Strategy, emotions, gestures",

author = "\{Ra{\'u}l Eduardo\}, \{Huarote Zegarra\} and Yensi, \{Vega Luj{\'a}n\} and \{Edward Jos{\'e}\}, \{Flores Mas{\'i}as\} and \{Llanos Chacaltana\}, \{Katherine Susan\} and M{\'o}nica, \{D{\'i}az Re{\'a}tegui\} and \{Miguel Alfredo\}, \{L{\'e}vano Stella\}",

note = "Publisher Copyright: {\textcopyright} 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022 ; Conference date: 06-12-2022 Through 07-12-2022",

year = "2022",

doi = "10.18687/LEIRD2022.1.1.80",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

editor = "\{Larrondo Petrie\}, \{Maria M.\} and Jose Texier and Matta, \{Rodolfo Andres Rivas\}",

booktitle = "Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development",

}

Raúl Eduardo, HZ, Yensi, VL, Edward José, FM, Llanos Chacaltana, KS, Mónica, DR & Miguel Alfredo, LS 2022, Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM. in MM Larrondo Petrie, J Texier & RAR Matta (eds), Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2022-December, 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022, Virtual, Online, Colombia, 6/12/22. https://doi.org/10.18687/LEIRD2022.1.1.80

Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM. / Raúl Eduardo, Huarote Zegarra; Yensi, Vega Luján; Edward José, Flores Masías et al.
Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. ed. / Maria M. Larrondo Petrie; Jose Texier; Rodolfo Andres Rivas Matta. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM

AU - Raúl Eduardo, Huarote Zegarra

AU - Yensi, Vega Luján

AU - Edward José, Flores Masías

AU - Llanos Chacaltana, Katherine Susan

AU - Mónica, Díaz Reátegui

AU - Miguel Alfredo, Lévano Stella

PY - 2022

Y1 - 2022

N2 - This research aims to cover a need to be able to classify gestures, specifically the gestures of people's faces, which reflects the emotions of each person such as anger, fear, happiness and sadness. To be able to identify these gestures, it is necessary to apply a strategy, which is to prepare the digital image matrices in a sequence, such as converting to gray tone, finding the orientation, applying the sobel and medfilt2 algorithm, so that this result can enter to a SOM neural network and be able to be classified according to the gestures. Labeling as 0 to anger, 1 to fear, 2 to happiness and 3 to sadness. To corroborate this strategy, a public database of faces has been taken, being 160 images of faces for the training and for the tests 15 images were used that were not part of the training and each image obtained in .jpg format in different dimensions, achieving demonstrate with this strategy an affectivity of 96.0% certainty in the identification of gestures.

AB - This research aims to cover a need to be able to classify gestures, specifically the gestures of people's faces, which reflects the emotions of each person such as anger, fear, happiness and sadness. To be able to identify these gestures, it is necessary to apply a strategy, which is to prepare the digital image matrices in a sequence, such as converting to gray tone, finding the orientation, applying the sobel and medfilt2 algorithm, so that this result can enter to a SOM neural network and be able to be classified according to the gestures. Labeling as 0 to anger, 1 to fear, 2 to happiness and 3 to sadness. To corroborate this strategy, a public database of faces has been taken, being 160 images of faces for the training and for the tests 15 images were used that were not part of the training and each image obtained in .jpg format in different dimensions, achieving demonstrate with this strategy an affectivity of 96.0% certainty in the identification of gestures.

KW - SOM neural network

KW - Strategy

KW - emotions

KW - gestures

UR - https://www.scopus.com/pages/publications/85150687384

U2 - 10.18687/LEIRD2022.1.1.80

DO - 10.18687/LEIRD2022.1.1.80

M3 - Contribución a la conferencia

AN - SCOPUS:85150687384

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development

A2 - Larrondo Petrie, Maria M.

A2 - Texier, Jose

A2 - Matta, Rodolfo Andres Rivas

T2 - 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022

Y2 - 6 December 2022 through 7 December 2022

ER -

Raúl Eduardo HZ, Yensi VL, Edward José FM, Llanos Chacaltana KS, Mónica DR, Miguel Alfredo LS. Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM. In Larrondo Petrie MM, Texier J, Matta RAR, editors, Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LEIRD2022.1.1.80

Estrategia para la detección de tipos de gestos faciales usando red neuronal SOM

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