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CFC-Multimodal 2019 : Call for Book Chapters (Springer) - Challenges and Trends in Multimodal Fall Detection for Healthcare

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Link: https://sites.google.com/up.edu.mx/challenge-up-2019/
 
When Jan 14, 2019 - Aug 1, 2019
Where Electronic Submissions
Abstract Registration Due Mar 31, 2019
Submission Deadline May 1, 2019
Notification Due Jun 15, 2019
Final Version Due Jul 15, 2019
Categories    chapter   fall detection   machine learning   healthcare
 

Call For Papers

CALL FOR BOOK CHAPTERS
"Challenges and Trends in Multimodal Fall Detection for Healthcare"
To be published on "Cognitive Technologies" series of Springer (indexed in Scopus)
Tentative publication date: Late 2019

ABSTRACT:
This book is aiming to present challenging issues and current trends for designing fall detection systems using multimodal approach. In healthcare, falls are frequent especially among elderly people and it is considered a major health problem worldwide. Recently, fall detection systems have been proposed to alleviate this problem and to reduce the time a person fallen receives assistance.

AIMS AND SCOPE:
The edited book is proposed to have two covering directions: (i) present novel methods and techniques to handle fall detection using a multimodal approach over a common public dataset, and (ii) reviews and surveys on multimodal fall detection.

This call for book chapters is seeking for contributions in any of the two directions. Following, there is a more descriptive explanation of each direction:

(i) Novel methods and techniques on a common dataset.
This direction refers to implement novel algorithms and techniques using a multimodal approach on a common dataset. The idea is to present different alternatives (i.e. benchmark methods) to develop fall detection systems using the same data. We provide the Multimodal Fall Detection dataset which is a public and large dataset gathered for benchmarking purposes.

If you select this direction, you have to propose a novel strategy to detect fallings using this dataset and the chapter should be written based on the methodology and results you obtained.

The UP Multimodal Fall Detection dataset can be found in:
https://sites.google.com/up.edu.mx/challenge-up-2019/

NOTE: This edited book is related to the Open Competition UP Challenge 2019: Multimodal Fall Detection which is available in the previous link. To write a chapter book it is not mandatory to participate in the competition, but you can choose to do both at the same time.

(ii) Reviews and surveys.
This direction refers to make a significant review on the methodologies implemented for fall detection systems focusing on multimodal approaches. Surveys on previous works, summary of challenges in fall detection and a scientific sound future trends in this field can be submitted. If you opt for this direction, it is not mandatory to use the dataset nor to participate in the competition.

GENERAL GUIDELINES:
First, submit a proposal of your chapter. This proposal should include at least:
1. Tentative title of the chapter.
2. List of authors (full names), affiliations and e-mails. Set the corresponding author.
3. Abstract of the chapter (half page at most).
4. Explicitly select one of the two directions of contributions.

The full chapters will meet the Springer author's guidelines for chapter contributions. Contributions should have at least 20 pages in the final format. There is no limit number of pages. Figures and tables are recommended.

IMPORTANT DATES:
March 31, 2019 - Deadline for abstract submissions
May 1, 2019 - Deadline for full chapter submissions
June 15, 2019 - Notification of acceptance/rejection of contributions
July 15, 2019 - Deadline for final version of chapter submissions
Late 2019 - Publication of the edited book

For submissions and/or any other information related to this Call for Book Chapters, please contact the Lead Editor Dr. Hiram Ponce (hponce@up.edu.mx).

Dr. Hiram Ponce,
Faculty of Engineering, Universidad Panamericana
Mexico City, Mexico
hponce@up.edu.mx

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