CFC: HB 2018 : Call for Chapters: Handbook of Research on Healthcare Biometrics
Call For Papers
Call for Chapters: Handbook of Research on Healthcare Biometrics
Call for Chapters
Proposals Submission Deadline: November 15, 2017
Full Chapters Due: March 15, 2018
Submission Date: July 15, 2018
Biometrics brings convenient way to safeguard the identity of individuals as well as valuable belongings associated with the subjects. In the last three decades, the world has witnessed a rapid, but consistent development of novel biometrics systems. With the most effective biometrics traits and vision techniques, these systems have been designed and thereafter, deployed to the fields where protection of identity is the biggest challenge and might be a threat to the society. In recent time, healthcare biometrics has emerged as a new area of biometrics applications and as a positive effect, industry experts estimate that healthcare biometrics will drive global market with major technological transformation. Healthcare biometrics could be dealt with two issues: providing entry to access healthcare related resources and patient identification for maintaining patient privacy and safety. Healthcare biometrics could be utilized in access control, patient identification and monitoring, workforce management and patient record management. Sincere effort and effective use of healthcare biometrics might be helpful to eradicate fraudulent and susceptible happenings in healthcare services. At the same time, it will reduce the medical identity theft and manipulation of patient healthcare data and fraudulent claims made by hospital management. Latest technological developments in biometrics systems facilitate the healthcare sectors for adopting biometric systems in order to use entire medical facilities to be integrated with biometric systems so that better service can be provided to the patients and improve medical services. Hence, a careful selection of one or more biometric traits along with suitable machine vision, pattern classification, and effective ensemble techniques could serve the purpose of using biometric systems with existing medical facilities.
The aim of this book is to provide a collection of latest developments made on healthcare biometrics and its related areas to ensure exhibiting state-of-the-art technologies. This book will discuss various issues related to healthcare biometrics and their effective solutions presented in a well-organized manner. This book will include cutting-edge biometrics methodologies like template protection, adaptive systems, cohort selection, ensemble systems, deep learning, liveness detection, sparse representation, identity management, cyber-physical biometrics systems, affective algorithms, recurrent networks, biometrics-as-a-service, heterogeneous biometrics and blockchain biometrics technology along with the traditional systems. This book will also focus and include the chapters which are presented on the case studies and reports related to large scale biometrics systems and industrial healthcare biometrics products.
The book will be helpful to the communities composed of educators, researchers, faculty members, industry practitioners, graduate students, etc. Besides, the same would be proved to be beneficial to the professionals working with healthcare services, government policy making tasks and planning, government enforcement agencies, legal and regulatory services, and with business enterprises in order to understand the practical aspects of next-generation healthcare biometrics systems and future research directions. Further, it would help them in installing and commissioning of the healthcare biometrics systems in the healthcare sectors where susceptible activities of attackers are detected. The overall nature of the proposed book will attract a large number of enthusiastic people who are actively related to biometrics research and would like to move into the direction of healthcare biometrics.
Contributors are welcome and solicited to submit their chapters on the topics of interest include, but not are limited to the following
• Biometrics traits for healthcare biometrics
• Identity management for healthcare biometrics
• Computing infrastructures for healthcare biometrics
• Multibiometrics fusion for healthcare biometrics
• Template update for healthcare biometrics
• Heterogeneous evidence for healthcare biometrics
• Adaptive systems for healthcare biometrics
• Cyber-physical systems for healthcare biometrics
• Deep learning for healthcare biometrics
• Health analytics for healthcare biometrics
• Effect of cohort selection and template transformation in healthcare biometrics
• Affective environment for healthcare biometrics
• Biometrics-as-a-service for healthcare biometrics
• Blockchain technology for healthcare biometrics
• Big data and statistical analysis for healthcare biometrics
• Annotation of and knowledge discovery from healthcare biometrics systems
• Recurrent networks for healthcare biometrics
• Boltzmann machines for healthcare biometrics
• Statistical classifiers for healthcare biometrics
• Liveness detection for healthcare biometrics
• Security, reliability and performance assessment for healthcare biometrics
• Legal and social aspects of healthcare biometrics
Researchers and practitioners are invited to submit on or before November 15, 2017, a chapter proposal of 1,000 to 1,500 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by November 30, 2017 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by March 15, 2018, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Predictive Intelligence Using Big Data and the Internet of Things. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through the eEditorial Discovery®TM online submission manager.
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2019.
November 15, 2017: Proposal Submission Deadline
November 30, 2017: Notification of Acceptance
March 15, 2018: Full Chapter Submission
May 15, 2018: Review Results Returned
June 15, 2018: Revised Chapter Submission
June 30, 2018: Final Acceptance Notification
July 15, 2018: Final Chapter Submission
Dr. Dakshina Ranjan Kisku
Department of Computer Science and Engineering,
National Institute of Technology Durgapur,
Mahatma Gandhi Avenue, A-Zone,
Durgapur - 713209, Barddhaman, West Bengal, India