Human-Centric Intelligent Systems - Call for Papers for the Special Issue: Applications of Deep Learning in Affective Computing
Aims and Scope
The emotions and sentiments we experience daily play a crucial role in our daily lives. These factors contribute to our ability to make decisions, learn, communicate, and handle situations in our daily life. Affective analysis requires a comprehensive understanding of human perceptions and behaviors due to their subjective nature. Expression and perception of emotions often take place in tandem through multiple modalities (speech, gestures, biosignals, and facial expressions). The goal of affective computing is to detect, perceive, interpret, process, and reproduce emotions using multimodal data using Artificial Intelligence. Real-world applications of emotion recognition are diverse, including Human-Computer Interaction systems using cameras, text, microphones, and sensors, particularly in clinical diagnosis, healthcare, smart transportation, neuromarketing, e- learning, and rehabilitation. Deep learning models play a significant role in affective computing by automatically identifying complex patterns in data. Nevertheless, these models face challenges like handling multimodal data, emotional ambiguity, subjectivity, data imbalance, scarcity, and annotation.
The special issue aims to advance our understanding of emotions, human-computer interactions, and the potential of deep learning in creating empathetic and emotionally intelligent technologies, appealing to readers interested in this intersection. Overcoming these challenges is essential for the future effectiveness and applicability of these technologies.
Important date
Open date: 01 November, 2023
Close date: 31 July, 2024
Submit your paper
All papers have to be submitted via the Editorial Manager online submission and peer review system. Instructions will be provided on screen and you will be stepwise guided through the process of uploading all the relevant article details and files associated with your submission. During submission authors should indicate that their manuscript belongs to the special issue “Applications of Deep Learning in Affective Computing” (this question will appear at “Additional Information” step). All manuscripts must be in the English language.
To access the online submission site for the journal, please visit https://www.editorialmanager.com/hcin/default1.aspx. (this opens in a new tab) Note that if this is the first time that you submit to the Human-Centric Intelligent Systems, you need to register as a user of the system first.
NOTE: Before submitting your paper, please make sure to review the journal's Author Guidelines (this opens in a new tab) first.
After Acceptance
This special issue will be published as a virtual collection that will be accessible at SpringerLink. Accepted papers will be published online within about 20 days after acceptance, fully citable by DOI (Digital Object Identifier), prior to publication in the issue.”
Introduction of the Guest Editors
Prof. Dr.M.Murugappan
Full Professor in Electronics, Intelligent Signal Processing (ISP) Lab, Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Kuwait.
Home page: https://sites.google.com/site/smrmurugappan/home?authuser=0 (this opens in a new tab)
Prof. M. Murugappan is currently at Kuwait College of Science and Technology (KCST), Kuwait as a Full Professor in the Department of Electronics and Communication Engineering since 2016. He was ranked among the top 2% of scientists in the world for four consecutive years (2020-2023). He has received more than 750K in research grants and his publications include more than 140 peer- reviewed conference papers, journal articles, and book chapters. He is a member of the editorial boards of Plos One, PEERJ Computer Science, and Human Centric Information Sciences. In addition to being the Chair of the IEEE Kuwait Section's Educational Activities Committee. He is interested in affective computing, neuromarketing, signal/medical image processing, and AI.
Prof. Dr.Diego Oliva
Department of Computer Sciences, Universidad de Guadalajara, Guadalajara, Mexico.
Home Page: https://diegoliva.com/ (this opens in a new tab)
National Researcher Rank 2 by the Mexican Council of Science and Technology. Since 2017 he has been a member of the IEEE. Diego Oliva is co-author of more than 100 papers in international journals and 6 books. He is part of the editorial board of IEEE Access, Plos One, Mathematical Problems in Engineering, IEEE Latin America Transactions, and Engineering Applications of Artificial Intelligence. His research interest includes Evolutionary and swarm algorithms, hybridization of evolutionary and swarm algorithms, and Computational intelligence.
Prof. Dr.B.Vinoth Kumar
Department of Information Technology, PSG College of Technology, Coimbatore, TamilNadu, India.
Home page:https://psgtech.edu/profile.php?OTMwODExMTQxOTQw (this opens in a new tab)
Dr. B. Vinoth Kumar is a Professor atPSG College of Technology, Coimbatore, Dr. Kumar's expertise encompasses an array of cutting-edge domains including Computational Intelligence, Memetic Algorithms, Blockchain, Affective Computing and Computer Vision. His scholarly contributions have been disseminated through over 60 impactful papers featured in esteemed journals and prominent conferences. Serving as a Guest Editor and Reviewer for distinguished publishers such as Springer, Elsevier, and Inderscience, he plays a pivotal role in shaping and refining the landscape of research. A testament to his remarkable achievements, he secured a sponsored research grant from the Department of Science and Technology, India.