Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey

•A prospective survey that merges the e-security, e-health and e-learning on mobile devices.•A vision of the future developments in on-line processing of handwriting.•A new mobile device application, the Personal Digital Bodyguard.•An integrated view of one possible outcome of research in human moto...

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Published in:Pattern recognition Vol. 81; pp. 633 - 659
Main Authors: Plamondon, Réjean, Pirlo, Giuseppe, Anquetil, Éric, Rémi, Céline, Teulings, Hans-Leo, Nakagawa, Masaki
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2018
Elsevier
Subjects:
Cognitive science
Computer Science
Computer Vision and Pattern Recognition
E-health
E-interaction
E-learning
E-recognition
E-security
E-testing tools
Engineering Sciences
Handwriting learning and recognition
Lognormality principle
Mobile devices
Neuromuscular disorder
Personal digital body guard
Signal and Image processing
Signature verification
E-learning
Signature verification
Mobile devices
E-recognition
Personal digital body guard
Neuromuscular disorder
E-health
E-testing tools
E-security
Handwriting learning and recognition
Lognormality principle
E-interaction
Esecurity
ISSN:0031-3203, 1873-5142
Online Access:Get full text
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Abstract •A prospective survey that merges the e-security, e-health and e-learning on mobile devices.•A vision of the future developments in on-line processing of handwriting.•A new mobile device application, the Personal Digital Bodyguard.•An integrated view of one possible outcome of research in human motor control.•A common goal for computer scientists, hardware engineers, neuroscientists, education experts. The widespread availability of hand-held devices like tablets, phablets and smart phones, along with their new handwriting digitizing and their increased computing powers, enable these to process the graphomotor dimension and the lognormal trends of human handwriting. By exploiting such capacity, it becomes possible to extend these mobile devices into Personal Digital Bodyguards (PDBs). PDBs will be able to supplement people's sensitive data protection with signature verification, equipment use security with writer authentication and handwritten CAPTCHAs processing (e-security), and to enhance human-machine interaction performances through words spotting and handwriting recognition (e-recognition). For young children, these tools will turn into interactive toys helping them to learn and master their fine motor control and become better writers. For advanced students they will enable sophisticated systems for (e-learning) and (e-testing). Moreover, PDBs will also be able to provide the user with fine motor control monitoring, which can detect stress, aging and health problems (e-health). This paper presents a prospective survey of various projects dealing with these five e-fields of investigation, focussing on state of the art results and providing directions in research and development, under the theoretical umbrella of the Kinematic Theory of human movements and its Lognormality Principle. From a practical point of view, the concept of lognormality provides a fundamental common thread, an integrative psychophysical standpoint to track the graphomotor problems of signature verification, writer identification, handwriting generation, recognition and learning.
AbstractList The widespread availability of hand-held devices like tablets, phablets and smart phones, along with their new handwriting digitizing and their increased computing powers, enable these to process the graphomotor dimension and the lognormal trends of human handwriting. By exploiting such capacity, it becomes possible to extend these mobile devices into Personal Digital Bodyguards (PDBs). PDBs will be able to supplement people's sensitive data protection with signature verification, equipment use security with writer authentication and handwritten CAPTCHAs processing (e-security), and to enhance human-machine interaction performances through words spotting and handwriting recognition (e-recognition). For young children, these tools will turn into interactive toys helping them to learn and master their fine motor control and become better writers. For advanced students they will enable sophisticated systems for (e-learning) and (e-testing). Moreover, PDBs will also be able to provide the user with fine motor control monitoring, which can detect stress, aging and health problems (e-health).This paper presents a prospective survey of various projects dealing with these five e-fields of investigation, focussing on state of the art results and providing directions in research and development, under the theoretical umbrella of the Kinematic Theory of human movements and its Lognormality Principle. From a practical point of view, the concept of lognormality provides a fundamental common thread, an integrative psychophysical standpoint to track the graphomotor problems of signature verification, writer identification, handwriting generation, recognition and learning.
•A prospective survey that merges the e-security, e-health and e-learning on mobile devices.•A vision of the future developments in on-line processing of handwriting.•A new mobile device application, the Personal Digital Bodyguard.•An integrated view of one possible outcome of research in human motor control.•A common goal for computer scientists, hardware engineers, neuroscientists, education experts. The widespread availability of hand-held devices like tablets, phablets and smart phones, along with their new handwriting digitizing and their increased computing powers, enable these to process the graphomotor dimension and the lognormal trends of human handwriting. By exploiting such capacity, it becomes possible to extend these mobile devices into Personal Digital Bodyguards (PDBs). PDBs will be able to supplement people's sensitive data protection with signature verification, equipment use security with writer authentication and handwritten CAPTCHAs processing (e-security), and to enhance human-machine interaction performances through words spotting and handwriting recognition (e-recognition). For young children, these tools will turn into interactive toys helping them to learn and master their fine motor control and become better writers. For advanced students they will enable sophisticated systems for (e-learning) and (e-testing). Moreover, PDBs will also be able to provide the user with fine motor control monitoring, which can detect stress, aging and health problems (e-health). This paper presents a prospective survey of various projects dealing with these five e-fields of investigation, focussing on state of the art results and providing directions in research and development, under the theoretical umbrella of the Kinematic Theory of human movements and its Lognormality Principle. From a practical point of view, the concept of lognormality provides a fundamental common thread, an integrative psychophysical standpoint to track the graphomotor problems of signature verification, writer identification, handwriting generation, recognition and learning.
Author Anquetil, Éric
Teulings, Hans-Leo
Rémi, Céline
Nakagawa, Masaki
Plamondon, Réjean
Pirlo, Giuseppe
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  fullname: Plamondon, Réjean
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  organization: Laboratoire Scribens, Département de Génie Électrique, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec H3C 3A7, Canada
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  givenname: Giuseppe
  surname: Pirlo
  fullname: Pirlo, Giuseppe
  email: giuseppe.pirlo@uniba.it
  organization: Computer Science Department, Bari University, Via Orabona 4, Bari, Italy
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  givenname: Éric
  surname: Anquetil
  fullname: Anquetil, Éric
  email: eric.anquetil@irisa.fr
  organization: INSA de Rennes, UMR IRISA, Rennes, France
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  givenname: Céline
  surname: Rémi
  fullname: Rémi, Céline
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  organization: LAMIA, Université des Antilles, Pointe-à-Pitre, Guadeloupe
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  givenname: Hans-Leo
  surname: Teulings
  fullname: Teulings, Hans-Leo
  email: hlteulings@neuroscriptsoftware.com
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  givenname: Masaki
  orcidid: 0000-0001-7872-156X
  surname: Nakagawa
  fullname: Nakagawa, Masaki
  email: nakagawa@cc.tuat.ac.jp
  organization: Department of Computer and Information Sciences, Tokyo University of A&T, Japan
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Keywords E-learning
Signature verification
Mobile devices
E-recognition
Personal digital body guard
Neuromuscular disorder
E-health
E-testing tools
E-security
Handwriting learning and recognition
Lognormality principle
E-interaction
Esecurity
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Snippet •A prospective survey that merges the e-security, e-health and e-learning on mobile devices.•A vision of the future developments in on-line processing of...
The widespread availability of hand-held devices like tablets, phablets and smart phones, along with their new handwriting digitizing and their increased...
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SubjectTerms Cognitive science
Computer Science
Computer Vision and Pattern Recognition
E-health
E-interaction
E-learning
E-recognition
E-security
E-testing tools
Engineering Sciences
Handwriting learning and recognition
Lognormality principle
Mobile devices
Neuromuscular disorder
Personal digital body guard
Signal and Image processing
Signature verification
Title Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey
URI https://dx.doi.org/10.1016/j.patcog.2018.04.012
https://hal.science/hal-01767055
Volume 81
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