Virtual Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB)

Fundamental Cues for Non-Verbal behavioral are human communication and interaction. Despite Significant advances in recent years, state of the art human-machine systems still falls short in sensing, analyzing and fully understanding cues naturally expressed in everyday settings. Two of the most important non-verbal cues, evidenced by a large body of work in experimental psychology and behavioral sciences, are visual behavior and body language.

Widely anticipated in HCI is that computing will move to the background, weaving itself into the fabric of our everyday living and projecting the human user into the foreground. To realize this goal, next-generation computing will need to develop human-centered user interfaces that respond readily to naturally occurring, multimodal, human communication. These interfaces will need the capacity to perceive, understand, and respond appropriately to human intentions and cognitive- emotional states as communicated by social and affective signals.

Motivated by this vision of the future, automated analysis of nonverbal behavior has attracted increasing attention in diverse disciplines, including psychology, computer science, linguistics, and neuroscience. Promising approaches have been reported, especially in the areas of facial expression and multimodal communication. Yet, increasing evidence suggests that deliberate or posed behavior differs in appearance and timing from that which occurs in daily life. Approaches to automatic behavior analysis that have been trained on deliberate and typically exaggerated behaviors may fail to generalize to the complexity of expressive behavior found in real-world settings.

This Virtual Special Issue (VSI) intends to bring together researchers and developers from academic fields and industries worldwide working in the broad areas of computer vision and promote community-wide discussion of ideas that will influence and foster continued research in this field for the betterment of human mankind.

Papers submitted to this VSI and accepted for publication will be spread through several regular issues, since each accepted paper will be published as soon as possible without waiting until all submissions to the VSI are in final status. The accepted papers will also be gathered as part of a VSI that will be available exclusively online and will be gradually built up as the individual articles are published online.

Recommended topics are given below:

• Intelligent visual surveillance
• Deep learning based Gait recognition
• Machine Learning approaches
• Semi supervised learning based behavior analysis
• Deep learning for facial expression behavior
• Real world application of behavior analysis
• Time-critical techniques to understand gestural behavior
• Sensor data interpretation for live behavior analysis

Important dates

• Start of submission period: July 1, 2018
• Deadline for submission: July 31, 2018
• First review notification: September 30, 2018
• Second review notification: December 30, 2018
• Final Acceptance notification to authors: February 2019

Paper submission:

Each paper submitted to the special issue NVHB and accepted for publication will be published in the first available regular issue of PR Letters. This means that the maximal length of contributions is 7 pages, that might become 8 in the revised version of the article, exactly as it is for all papers published as regular articles. Note that NVHB articles are likely to be spread on different issues of the Journal. To gather all NVHB contributions, a virtual issue will be built by adding to it any NVHB article as soon as it is accepted. The so built virtual special issue will be available exclusively online.

Papers will be evaluated based on their originality, presentation, relevance and novelty, as well as their suitability to the special issue, and for their overall quality, giving preference to those with accompanying data, demo, and software. Author guidelines for preparation of manuscript can be found at: http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors

The submission website for this journal is located at: http://ees.elsevier.com/prletters/default.asp

To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select “SI: NVHB” when they reach the “Article Type Name” step in the submission process. Note that a maximum of 7 pages in the Journal layout is admitted for virtual special issue papers.

Review process

Guest editors will make an initial determination of the suitability and scope of all submissions. The review process will be done by following the standard review process of Pattern Recognition Letters. Each paper will be reviewed by at least two experts in the field. In general, only two reviewing rounds will be possible, out of which major revision is possible only for the first round. Papers that after the 2nd reviewing round still need major revision will be rejected.

Guest Editors:

Dr. Wankou Yang (Managing Guest Editor)
Associate Professor
School of Automation, Southeast University
Nanjing, China.
Email: wkyang@seu.edu.cn
Webpage: http://automation.seu.edu.cn/Articles.aspx?id=2996

Dr. Su-Jing Wang
Visual and Computational Cognition Laboratory,
State key Laboratory of Brain and Cognitive Science
Institute of Psychology, Chinese academy of Sciences
Beijing, China.
Email: wangsujing@psych.ac.cn
Webpage: http://sujingwang.name/

Dr. Pritee Khanna
Associate Professor and Head
Computer Science and Engineering Discipline
PDPM Indian Institute of Information Technology, Design and Manufacturing
Jabalpur, India
Email: pkhanna@iiitdmj.ac.in
Webpage: www.iiitdmj.ac.in/pkhanna.php

Dr. Xiong Li
Associate Professor
School of Computer Science and Engineering|
Hunan University of science and Technology
Xiangtan, china
Email: lixiong@hnust.edu.cn , lixiongzhq@163.com
Webpage: http://computer.hnust.edu.cn/html/yanjiushenggongzuo/daoshixinxi/2017/0314/1635.html