Emotions States Recognition Based on Physiological Parameters by Employing of Fuzzy-Adaptive Resonance Theory

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International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
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"Emotions States Recognition Based on Physiological Parameters by Employing of Fuzzy-Adaptive Resonance Theory"
written by Mahdis Monajati, Seyed Hamidreza Abbasi, Fereidoon Shabaninia, Sina Shamekhi,
published by International Journal of Intelligence Science, Vol.2 No.4A, 2012

has been cited by the following article(s):

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[1]	A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States
	Sensors, 2022

[2]	An Analysis of Emotion Recognition Based on GSR Signal
	ECS Transactions, 2022

[3]	Meltdown/Tantrum Detection System for Individuals with Autism Spectrum Disorder
	Applied Artificial Intelligence, 2021

[4]	Emotion aware recommendation engine using ECG signal analysis
	2021 12th …, 2021

[5]	An approach of re-organizing input dataset to enhance the quality of emotion recognition using the bio-signals dataset of MIT
	Bulletin of Electrical Engineering and Informatics, 2021

[6]	Facial geometric feature extraction based emotional expression classification using machine learning algorithms
	2021

[7]	ATTICUS: Ambient-intelligent Tele-monitoring and Telemetry for Incepting and Catering over hUman Sustainability
	Frontiers in Human …, 2021

[8]	Physiological state can help predict the perceived emotion of music: Evidence from ECG and EDA signals
	American Journal of …, 2021

[9]	Human Emotion Recognition using Physiological Signals: A Survey
	2020

[10]	Analysis of Physiological Signals Using a Semi-Supervised Framework for Emotion Recognition
	2020

[11]	A Model of Socially Connected Things for Emotion Detection
	2020

[12]	Emotional Testing on Facebook's User Experience
	2020

[13]	A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals
	2019

[14]	Otimizando o desempenho eo bem-estar de equinos usados em atividades esportivas
	2018

[15]	A Review of Emotion Recognition Using Physiological Signals
	Sensors, 2018

[16]	A novel online method for identifying motion artifact and photoplethysmography signal reconstruction using artificial neural networks and adaptive neuro-fuzzy …
	Neural Computing and Applications, 2018

[17]	A potential approach for emotion prediction using heart rate signals
	2017

[18]	Assessment of Human Fatigue during Physical Performance using Physiological Signals: A Review
	2017

[19]	Wearable Emotion Recognition System based on GSR and PPG Signals
	MMHealth 2017 Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017

[20]	EMOTION RECOGNITION FOR AUTOMOTIVE DRIVERS USING SIMULATED DRIVING APPROACH
	2017

[21]	Fiction et émotion
	2017

[22]	Les émotions en discours et en image (s)
	Savoirs en Prisme, 2017

[23]	From Physiological data to Emotional States: Conducting a User Study and Comparing Machine Learning Classifiers
	Sensors & Transducers, 2016

[24]	Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions
	PLOS ONE, 2016

[25]	Classification of stress recognition using Artificial Neural Network
	2016

[26]	Blind area target aiming system and preference selection training system design
	2015

[27]	FACIAL EXPRESSION RECOGNITION BASED ON EOG TOWARD EMOTION DETECTION FOR HUMAN-ROBOT INTERACTION
	2015

[28]	ノンパラメトリックベイズモデルを用いた生理指標の時系列解析に基づく情動変化のダイナミクス推定
	人工知能学会全国大会論文集, 2015

[29]	Human Resource Management in Emergency Situations
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[30]	Toward analysis of emotional development using physiological and behavioral data
	T Horii, Y Nagai, M Asada - cnr.ams.eng.osaka-u.ac.jp, 2014

[31]	Modeling Learner Mood in Realtime Through Biosensors for Intelligent Tutoring Improvements
	NULL 2013

[32]	Algorithmic approach for biomedical data analysis identifying selected emotions using machine learning and mobile technologies


[33]	AN ENHANCED COMPUTATIONAL MODEL BASED ON SOCIAL SPIDER OPTIMISATION ALGORITHM FOR EEG-BASED EMOTION RECOGNITION

[1]	A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States Sensors, 2022 DOI:10.3390/s22207824

[2]	Meltdown/Tantrum Detection System for Individuals with Autism Spectrum Disorder Applied Artificial Intelligence, 2021 DOI:10.1080/08839514.2021.1991115

[3]	Facial geometric feature extraction based emotional expression classification using machine learning algorithms PLOS ONE, 2021 DOI:10.1371/journal.pone.0247131

[4]	ATTICUS: Ambient-Intelligent Tele-monitoring and Telemetry for Incepting and Catering Over hUman Sustainability Frontiers in Human Dynamics, 2021 DOI:10.3389/fhumd.2021.614309

[5]	Emotion aware recommendation engine using ECG signal analysis 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021 DOI:10.1109/ICCCNT51525.2021.9580129

[6]	Emotional Testing on Facebook’s User Experience IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2981418

[7]	Human Emotion Recognition using Physiological Signals: A Survey SSRN Electronic Journal , 2020 DOI:10.2139/ssrn.3645402

[8]	A Model of Socially Connected Things for Emotion Detection 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), 2020 DOI:10.1109/ICCSEA49143.2020.9132887

[9]	A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2944001

[10]	Otimizando o desempenho e o bem-estar de equinos usados em atividades esportivas Revista Brasileira de Zoociências, 2018 DOI:10.34019/2596-3325.2018.v19.24735

[11]	A Review of Emotion Recognition Using Physiological Signals Sensors, 2018 DOI:10.3390/s18072074

[12]	A novel online method for identifying motion artifact and photoplethysmography signal reconstruction using artificial neural networks and adaptive neuro-fuzzy inference system Neural Computing and Applications, 2018 DOI:10.1007/s00521-018-3767-8

[13]	Wearable Emotion Recognition System based on GSR and PPG Signals Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care - MMHealth '17, 2017 DOI:10.1145/3132635.3132641

[14]	Wearable Emotion Recognition System based on GSR and PPG Signals Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017 DOI:10.1145/3132635.3132641

[15]	Classification of stress recognition using Artificial Neural Network 2016 5th Mediterranean Conference on Embedded Computing (MECO), 2016 DOI:10.1109/MECO.2016.7525765

[16]	Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions PLOS ONE, 2016 DOI:10.1371/journal.pone.0149003

[17]	Human Resource Management in Emergency Situations 2016 DOI:10.20334/2332-M

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