Information Fusion for Emotion-aware Intelligent Systems

  in Special Issue   Posted on August 13, 2017

Information for the Special Issue

Submission Deadline: Thu 15 Feb 2018
Journal Impact Factor : 13.669
Journal Name : Information Fusion
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

In the past decade, computer and information industry has experienced rapid changes in both plat-form scale and scope of applications. Computers, smart phones, clouds, social networks, and super-computers demand not only high performance but also high degree of machine intelligence. In fact, we are entering an era of big data and cognitive computing. This trendy movement is observed by the pervasive use of mobile phones, storage and computing clouds, revival of artificial intelligence in practice, extended supercomputer applications, and wide spread deployment of Internet of Things (IoT) platforms. While the rapidly developed technology benefits people’s material life in many aspects, people begin to concern about human spiritual life and focus on how can information fusion technologies facilitate emotion-aware healthcare data acquisition, representation, and analy-sis. It is envisioned that IoT, clouds, big data and cognitive learning will be the success factors for realizing emotion-aware intelligent systems, leading effective emotion care and smart mental healthcare solutions. In this relatively new area, emotional information from multiple sources are combined to improve system’s intelligence or obtain useful information. For example, combining audio and video data to make machine smarter, or to obtain joint feature representation.

This special issue focuses on sharing recent advances in algorithms and applications about emotion-aware intelligent systems. Topics appropriate for this special issue include novel supervised, unsu-pervised, semi-supervised and reinforcement algorithms, new architectures, and applications related to emotion-aware intelligent systems and information fusion.

Topics appropriate for this special issue include (but are not necessarily limited to):

  • New models for emotion-aware intelligent systems
  • Deep learning models for emotional data processing
  • Feature fusion for emotion-aware intelligent systems
  • Shared emotional representation learning
  • Improved algorithms for emotion-aware intelligent systems
  • Combining multiple models for emotion-aware intelligent systems
  • Analysis on big emotional data
  • Emotion-aware intelligent systems for information fusion
  • Hierarchical emotion-aware intelligent systems for information fusion
  • Emotion-control healthcare applications such as mental healthcare systems, emotion-control by robotics technology and emotion interaction through IoT and clouds
  • Emotion-aware intelligent applications in computer vision related areas such as emotion recognition and so on
  • Emotion-aware intelligent applications in audio areas such as recognize emotion from one’s voice, generate emotional voice and so on

Manuscripts must clearly delineate the role of information fusion for emotion-aware intelligent systems. The manuscript will be judged solely on the basis of new contributions excluding the contributions made in earlier publications. Contributions should be described in sufficient detail to be reproducible on the basis of the material presented in the paper and the references cited there-in.

Manuscripts should be submitted electronically at:

The corresponding author will have to create a user profile if one has not been established previous-ly at Elsevier.

To ensure that all manuscripts are correctly identified for consideration in the Special Issue of In-formation Fusion for Emotion-aware Intelligent Systems, it is important that authors select “SI: Emotion-aware-IS\”.

Guest Editors

Min Chen, Huazhong University of Science and Technology (China),
Alessandro L. Koerich, ÉTS Montreal (Canada),
Kai Hwang, University of Southern California (USA),

Deadline for Submission:

  • First submission date: November 15, 2017
  • Submission deadline: February 15, 2018 
  • Acceptance deadline: September 30, 2018

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