ICHMI 2020 - Seventh International Conference on Human Machine Interaction 2020

ICHMI 2020 will be the most comprehensive conference focused on the various aspects of advances in Human Machine Interaction. This Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Human Machine Interaction. Furthermore, we expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.
The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Human Machine Interaction.
To provide opportunities for the different research area delegates to exchange new ideas and application experiences face to face, to establish business / research relations to find global partners for future collaboration in the areas of Human Machine Interaction. Papers describing new methods or technologies, advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICHMI 2020, with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and virtual sessions.
The papers will be made to appear in a book to be published by ASDF HQ, India in EDLIB (www.edlib.net). All the published paper will be indexed by Google Scholar and various others search engines.
Active Vision
Agents and Multi-Agent Systems
Applications of Perception
Artificial Intelligence
Brain Machine Interfaces
Cognitive Engineering
Collaborative Design and Manufacturing
Collaboration Technologies and Systems
Computer Graphics
Computer Vision
Cooperative Design
Dimensionality Reduction
Distributed Intelligent Systems
Ergonomics
Fuzzy Systems
Health Care
Human Centered Transportation System
Human Factors
Human Perception
Hybrid Intelligent System Design
Image Analysis
Intelligent Transportation
Knowledge Representation
Machine Learning
Material Appearance Modeling Medical Imaging
Mental Workload
Multimedia
Multiview Learning
Next Generation Network
Network Security and Management
Ontologies
Patient Safety
Pattern Recognition
Perceptual Factors
Physiological Indicators
Production Planning and Scheduling
Protocol Engineering
Semi-Supervised Learning
Service-Oriented Computing
Simulator Training
Systems Integration and Collaboration
Systems Safety and Security
Team Performance
Video Processing
Virtual Reality
Visualization