Open Access
On the Definition of Information Fusion as a Field of Research
Henrik Boström,Sten F. Andler,Marcus Brohede,Ronnie Johansson,Alexander Karlsson,Joeri van Laere,Lars Niklasson,Marie Nilsson,Anne Persson,Tom Ziemke +9 more
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TLDR
A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use a definition when motivating their own work and evaluating the results of other researchers' work.Abstract:
A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use uch a definition when motivating their own work and evaluating the contri ...read more
Citations
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Journal ArticleDOI
Multisensor data fusion: A review of the state-of-the-art
TL;DR: A comprehensive review of the data fusion state of the art is proposed, exploring its conceptualizations, benefits, and challenging aspects, as well as existing methodologies.
Journal ArticleDOI
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
TL;DR: In this paper, a number of data-driven solutions based on matrix and tensor decompositions are discussed, emphasizing how they account for diversity across the data sets, and a key concept, diversity, is introduced.
Journal ArticleDOI
Unobtrusive Sensing and Wearable Devices for Health Informatics
Yali Zheng,Xiaorong Ding,Carmen C. Y. Poon,Benny Lo,Heye Zhang,Xiao-Lin Zhou,Guang-Zhong Yang,Ni Zhao,Yuan-Ting Zhang +8 more
TL;DR: This paper aims to provide an overview of four emerging unobtrusive and wearable technologies, which are essential to the realization of pervasive health information acquisition, including: 1) unobTrusive sensing methods, 2) smart textile technology, 3) flexible-stretchable-printable electronics, and 4) sensor fusion.
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects This paper provides an overview of the main challenges in multimodal data fusion acrossvariousdisciplinesandaddressestwokeyissues:''whyweneeddatafusion''and ''how we perform it.''
TL;DR: The aim of this paper is to provide the reader with a taste of the vastness of the field, the prospects, and the opportunities that it holds, and a number of data-driven solutions based on matrix and tensor decompositions are discussed, emphasizing how they account for diversity across the data sets.
Proceedings ArticleDOI
Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems
Amir-Mohammad Rahmani,Nanda Kumar Thanigaivelan,Tuan Nguyen Gia,Jose Granados,Behailu Negash,Pasi Liljeberg,Hannu Tenhunen +6 more
TL;DR: This paper exploits the strategic position of such gateways to offer several higher-level services such as local storage, real-time local data processing, embedded data mining, etc., proposing thus a Smart e-Health Gateway.
References
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Journal ArticleDOI
An introduction to multisensor data fusion
David L. Hall,James Llinas +1 more
TL;DR: This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques.
Journal ArticleDOI
Merging the senses into a robust percept
TL;DR: It is shown that, depending on the type of information, different combination and integration strategies are used and that prior knowledge is often required for interpreting the sensory signals.
Book
Mathematical Techniques in Multisensor Data Fusion
TL;DR: This invaluable reference shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.
Book
Multisensor Data Fusion
TL;DR: This new edition is now in two volumes and contains nine new chapters and focuses on the most recent developments in the fusion of data in a variety of applications from military to automotive to medical.
Book
Handbook of multisensor data fusion
David L. Hall,James Llinas +1 more
TL;DR: MULTISENSOR DATA FUSION Introduction to Multisensor Data Fusion, D. Hall and J.K. Bowman Introduction to the Algorithms of Data Association in Multiple-Target Tracking, and Studies and Analyses with Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques.