Age-Related Evolution Patterns in Online Handwriting
Characterizing age from handwriting (HW) has important applications, as it is key to distinguishing normal HW evolution with age from abnormal HW change, potentially triggered by neurodegenerative decline. We propose, in this work, an original approach for online HW style characterization based on a...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2016/3246595 |
id |
doaj-fe3e2a09b45440a7a2c45abec15ceffd |
---|---|
record_format |
Article |
spelling |
doaj-fe3e2a09b45440a7a2c45abec15ceffd2020-11-24T22:56:13ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182016-01-01201610.1155/2016/32465953246595Age-Related Evolution Patterns in Online HandwritingGabriel Marzinotto0José C. Rosales1Mounîm A. EL-Yacoubi2Sonia Garcia-Salicetti3Christian Kahindo4Hélène Kerhervé5Victoria Cristancho-Lacroix6Anne-Sophie Rigaud7SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Palaiseau, FranceSAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Palaiseau, FranceSAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Palaiseau, FranceSAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Palaiseau, FranceSAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Palaiseau, FranceAP-HP, Groupe Hospitalier Cochin Paris Centre, Hôpital Broca, Pôle Gérontologie, Paris, FranceAP-HP, Groupe Hospitalier Cochin Paris Centre, Hôpital Broca, Pôle Gérontologie, Paris, FranceAP-HP, Groupe Hospitalier Cochin Paris Centre, Hôpital Broca, Pôle Gérontologie, Paris, FranceCharacterizing age from handwriting (HW) has important applications, as it is key to distinguishing normal HW evolution with age from abnormal HW change, potentially triggered by neurodegenerative decline. We propose, in this work, an original approach for online HW style characterization based on a two-level clustering scheme. The first level generates writer-independent word clusters from raw spatial-dynamic HW information. At the second level, each writer’s words are converted into a Bag of Prototype Words that is augmented by an interword stability measure. This two-level HW style representation is input to an unsupervised learning technique, aiming at uncovering HW style categories and their correlation with age. To assess the effectiveness of our approach, we propose information theoretic measures to quantify the gain on age information from each clustering layer. We have carried out extensive experiments on a large public online HW database, augmented by HW samples acquired at Broca Hospital in Paris from people mostly between 60 and 85 years old. Unlike previous works claiming that there is only one pattern of HW change with age, our study reveals three major aging HW styles, one specific to aged people and the two others shared by other age groups.http://dx.doi.org/10.1155/2016/3246595 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriel Marzinotto José C. Rosales Mounîm A. EL-Yacoubi Sonia Garcia-Salicetti Christian Kahindo Hélène Kerhervé Victoria Cristancho-Lacroix Anne-Sophie Rigaud |
spellingShingle |
Gabriel Marzinotto José C. Rosales Mounîm A. EL-Yacoubi Sonia Garcia-Salicetti Christian Kahindo Hélène Kerhervé Victoria Cristancho-Lacroix Anne-Sophie Rigaud Age-Related Evolution Patterns in Online Handwriting Computational and Mathematical Methods in Medicine |
author_facet |
Gabriel Marzinotto José C. Rosales Mounîm A. EL-Yacoubi Sonia Garcia-Salicetti Christian Kahindo Hélène Kerhervé Victoria Cristancho-Lacroix Anne-Sophie Rigaud |
author_sort |
Gabriel Marzinotto |
title |
Age-Related Evolution Patterns in Online Handwriting |
title_short |
Age-Related Evolution Patterns in Online Handwriting |
title_full |
Age-Related Evolution Patterns in Online Handwriting |
title_fullStr |
Age-Related Evolution Patterns in Online Handwriting |
title_full_unstemmed |
Age-Related Evolution Patterns in Online Handwriting |
title_sort |
age-related evolution patterns in online handwriting |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2016-01-01 |
description |
Characterizing age from handwriting (HW) has important applications, as it is key to distinguishing normal HW evolution with age from abnormal HW change, potentially triggered by neurodegenerative decline. We propose, in this work, an original approach for online HW style characterization based on a two-level clustering scheme. The first level generates writer-independent word clusters from raw spatial-dynamic HW information. At the second level, each writer’s words are converted into a Bag of Prototype Words that is augmented by an interword stability measure. This two-level HW style representation is input to an unsupervised learning technique, aiming at uncovering HW style categories and their correlation with age. To assess the effectiveness of our approach, we propose information theoretic measures to quantify the gain on age information from each clustering layer. We have carried out extensive experiments on a large public online HW database, augmented by HW samples acquired at Broca Hospital in Paris from people mostly between 60 and 85 years old. Unlike previous works claiming that there is only one pattern of HW change with age, our study reveals three major aging HW styles, one specific to aged people and the two others shared by other age groups. |
url |
http://dx.doi.org/10.1155/2016/3246595 |
work_keys_str_mv |
AT gabrielmarzinotto agerelatedevolutionpatternsinonlinehandwriting AT josecrosales agerelatedevolutionpatternsinonlinehandwriting AT mounimaelyacoubi agerelatedevolutionpatternsinonlinehandwriting AT soniagarciasalicetti agerelatedevolutionpatternsinonlinehandwriting AT christiankahindo agerelatedevolutionpatternsinonlinehandwriting AT helenekerherve agerelatedevolutionpatternsinonlinehandwriting AT victoriacristancholacroix agerelatedevolutionpatternsinonlinehandwriting AT annesophierigaud agerelatedevolutionpatternsinonlinehandwriting |
_version_ |
1725654204524003328 |