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A New Approach of Facial Expression Recognition for Ambient Assisted Living

Authors:

Yacine Yaddaden,

Abdenour Bouzouane,

Bruno BouchardAuthors Info & Claims

PETRA '16: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 14, Pages 1 - 8

https://doi.org/10.1145/2910674.2910703

Published: 29 June 2016 Publication History

Abstract

Ambient Assisted Living and Ambient Intelligence have seen their impact greatly grows, especially these last decades. It is mainly due to the increase of the ageing population and people with cognitive diseases. Several technologies were developed to make the use of assistive technology more acceptable and comfortable for the elderly in order to reduce or even replace the human assistance. However, there are many challenges and issues, especially in the interaction between the elderly and assistive systems. To make the system interact as human beings, emotions were used. In this paper, we present a new approach to recognize emotions based on facial expressions represented by images. It is based on a new method for feature selection based on distances. We also suggest the use of the well-known K-Nearest Neighbor classifier with optimized parameters. This approach is found effective when tested using two different datasets of images.

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Cited By

Gao ZGao HXiang Y(2024)FACIAL EMOTION RECOGNITION BASED ON SELECTIVE KERNEL NETWORKJournal of Flow Visualization and Image Processing10.1615/JFlowVisImageProc.202304888131:1(33-52)Online publication date: 2024
https://doi.org/10.1615/JFlowVisImageProc.2023048881
Anjani SSuneetha E(2022)Transfer learning based effective emotional face recognition using DCNN via cropping techniquesi-manager's Journal on Computer Science10.26634/jcom.10.2.1905910:2(8)Online publication date: 2022
https://doi.org/10.26634/jcom.10.2.19059
Madhan Kumar GShiva Prakash SKrinkin K(2022)Ensemble Method for User Activity classification in Ambient Assisted Living2022 International Conference on Innovative Trends in Information Technology (ICITIIT)10.1109/ICITIIT54346.2022.9744194(1-7)Online publication date: 12-Feb-2022
https://doi.org/10.1109/ICITIIT54346.2022.9744194
Show More Cited By

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cover image ACM Other conferences

PETRA '16: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 2016

455 pages

ISBN:9781450343374

DOI:10.1145/2910674

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 June 2016

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PETRA '16

PETRA '16: 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 29 - July 1, 2016

Island, Corfu, Greece

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Cited By

Gao ZGao HXiang Y(2024)FACIAL EMOTION RECOGNITION BASED ON SELECTIVE KERNEL NETWORKJournal of Flow Visualization and Image Processing10.1615/JFlowVisImageProc.202304888131:1(33-52)Online publication date: 2024
https://doi.org/10.1615/JFlowVisImageProc.2023048881
Anjani SSuneetha E(2022)Transfer learning based effective emotional face recognition using DCNN via cropping techniquesi-manager's Journal on Computer Science10.26634/jcom.10.2.1905910:2(8)Online publication date: 2022
https://doi.org/10.26634/jcom.10.2.19059
Madhan Kumar GShiva Prakash SKrinkin K(2022)Ensemble Method for User Activity classification in Ambient Assisted Living2022 International Conference on Innovative Trends in Information Technology (ICITIIT)10.1109/ICITIIT54346.2022.9744194(1-7)Online publication date: 12-Feb-2022
https://doi.org/10.1109/ICITIIT54346.2022.9744194
Rawal NStock-Homburg R(2022)Facial Emotion Expressions in Human–Robot Interaction: A SurveyInternational Journal of Social Robotics10.1007/s12369-022-00867-014:7(1583-1604)Online publication date: 24-Jun-2022
https://doi.org/10.1007/s12369-022-00867-0
Akhand MRoy SSiddique NKamal MShimamura T(2021)Facial Emotion Recognition Using Transfer Learning in the Deep CNNElectronics10.3390/electronics1009103610:9(1036)Online publication date: 27-Apr-2021
https://doi.org/10.3390/electronics10091036
Rodrigues JCardoso PMonteiro JRamos C(2020)Augmented IntelligenceSmart Systems Design, Applications, and Challenges10.4018/978-1-7998-2112-0.ch001(1-22)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2112-0.ch001
Yasmin SPathan RBiswas MKhandaker MFaruque M(2020)Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression RecognitionSensors10.3390/s2018539120:18(5391)Online publication date: 21-Sep-2020
https://doi.org/10.3390/s20185391
Mughal FRaffe WGarcia J(2020)Emotion Recognition Techniques for Geriatric Users: A Snapshot2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)10.1109/SeGAH49190.2020.9201749(1-8)Online publication date: Aug-2020
https://doi.org/10.1109/SeGAH49190.2020.9201749
Canedo DNeves A(2019)Facial Expression Recognition Using Computer Vision: A Systematic ReviewApplied Sciences10.3390/app92146789:21(4678)Online publication date: 2-Nov-2019
https://doi.org/10.3390/app9214678
Bine LCosta YAylon L(2018)Automata Classification with Convolutional Neural Networks for Use in Assistive Technologies for the Visually ImpairedProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference10.1145/3197768.3201529(157-164)Online publication date: 26-Jun-2018
https://dl.acm.org/doi/10.1145/3197768.3201529
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