Éditeur(s) : HAL CCSD
Résumé : International audience
The development of predictive tools has been commonly utilized as the most effective manner to prevent illnesses thatstrike suddenly. Within this context, investigations linking fine human motor control with brain stroke risk factors areconsidered to have a high potential but they are still in an early stage of research. The present paper analysesneuromuscular features of oscillatory movements based on the Omega-Lognormal model of the Kinematic Theory. On adatabase of oscillatory movements from 120 subjects, we demonstrate that the proposed features differ significantlybetween subjects with and without brain stroke risk factors. This promising result motivates the development ofpredictive tools based on the Omega-Lognormal model.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165773
https://hal.univ-antilles.fr/hal-01165773
https://hal.univ-antilles.fr/hal-01165773/document
https://hal.univ-antilles.fr/hal-01165773/file/IGS_2015_submission_9.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Extract the features for a multi-touch gesture is difficult due to the complex temporal and motion relations between multiple trajectories. In this paper we present a new generic graph model to quantify the shape, temporal and motion information from multi-touch gesture. To make a comparison between graph, we also propose a specific graph matching method based on graph edit distance. Results prove that our graph model can be fruitfully used for multi-touch gesture pattern recognition purpose with the classifier of graph embedding and SVM.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165768
https://hal.univ-antilles.fr/hal-01165768
https://hal.univ-antilles.fr/hal-01165768/document
https://hal.univ-antilles.fr/hal-01165768/file/IGS_2015_submission_6.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
We propose an algorithm based on a model of visual perception that is meant to reflect the human judgment about the similarity of handwritten samples. The algorithm builds upon the Fuzzy Feature Contrast model and proposes an implementation of such a model in the domain of handwriting. The algorithm has been validated on the RIMES dataset, by comparing its performance with those of a panel of human experts. The experimental results show that the performance of the proposed algorithm is almost indistinguishable from the expert one and therefore may be a viable tool for handwriting comparison.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165766
https://hal.univ-antilles.fr/hal-01165766
https://hal.univ-antilles.fr/hal-01165766/document
https://hal.univ-antilles.fr/hal-01165766/file/IGS_2015_submission_5.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Graphomotor control constitutes a condition to the mastery of literacy and more widely to successful school apprenticeship. The Guadeloupian context is marked by significant rates of early school leaving and illiteracy. In such context, our research is concerned with two questions: “Does graphomotor training can help since kindergarten to strengthen graphomotor performances and the progression of literacy?” and “Which methodological approach can help to characterize the impact of graphomotor training?” By using online acquisition devices, we have tried to characterize the graphomotor skills for 132 pupils. These 3 to 5 years old children were submitted to 3 methods of graphomotor training. One of the methods that suppose family involvement, includes activities inspired by kid’s early scribbles. We considered the statistical analysis of the blind feedbacks of the teachers, of the features provided by the visuo-spatial processing of handwritten productions and of features provided by the sigma-lognormal modeling of the pupils’ movements. The results of this multimodal study show an increase in graphomotor control and in interest for drawing and handwriting tasks. The implication of these preliminary results on the pedagogical and co-educative choices is discussed.
Yves Mazabraud, Thomas Forissier, Alain Pietrus, Olivier Gros, Claire Anjou. CARIBBEAN ACADEMY OF SCIENCES 20 th GENERAL ASSEMBLY AND BIENNAL MEETING: Planning and Abstracts book. Nov 2016, Dehaies, Guadeloupe. 2016.
Deshaies, Guadeloupe

hal-01516420
https://hal.archives-ouvertes.fr/hal-01516420

Éditeur(s) : HAL CCSD
Résumé : International audience
We present the principle and the main steps of a new method for the visuo-spatial analysis of geometrical sketches recorded online. Visuo-spatial analysis is a necessary step for multi-level analysis. Multi-level analysis simultaneously allows classification, comparison or clustering of the constituent parts of a pattern according to their visuo-spatial properties, their procedural strategies, their structural or temporal parameters, or any combination of two or more of those parameters. The first results provided by this method concern the comparison of sketches to some perfect patterns of simple geometrical figures and the measure of dissimilarity between real sketches. The mean rates of good decision higher than 95% obtained are promising in both cases.
Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition

Droits : info:eu-repo/semantics/OpenAccess
hal-00514929
https://hal.archives-ouvertes.fr/hal-00514929
https://hal.archives-ouvertes.fr/hal-00514929/document
https://hal.archives-ouvertes.fr/hal-00514929/file/IPCV2010_-_RRP.pdf
ARXIV : 1305.1520

Éditeur(s) : HAL CCSD
Résumé : International audience
The goal of our experiment is to develop a useful and accessible tool that can be used to evaluate a patient's health by analyzing handwritten strokes. We use a cloud computing approach to analyze stroke data sampled on a commercial tablet working on the Android platform and a distant server to perform complex calculations using the Delta and Sigma lognormal algorithms. A Google Drive account is used to store the data and to ease the development of the project. The communication between the tablet, the cloud and the server is encrypted to ensure biomedical information confidentiality. Highly parameterized biomedical tests are implemented on the tablet as well as a free drawing test to evaluate the validity of the data acquired by the first test compared to the second one. A blurred shape model descriptor pattern recognition algorithm is used to classify the data obtained by the free drawing test. The functions presented in this paper are still currently under development and other improvements are needed before launching the application in the public domain.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165890
https://hal.univ-antilles.fr/hal-01165890
https://hal.univ-antilles.fr/hal-01165890/document
https://hal.univ-antilles.fr/hal-01165890/file/IGS_2015_submission_20.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Identifying the writer of a document establishes its authenticity or authorship and has several applications, notably in forensic and historical document analysis. Previous research has shown the potential of Interest Points (IP) for writer identification, but existing methods require segmentation or training. This paper evaluates the performance of intuitive features computed directly from IP properties rather than extracting descriptors at their locations; allowing for a training-free approach. Secondly, we show that adapting detectors to the specific task of writer identification is not only vital for performance but also allows for segmentation-free approaches. Experiments on widely-used datasets show the potential of the method applied self-contained and when combined with existing methods. Limitations of our method relate to the amount of data needed in order to obtain reliable models.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165881
https://hal.univ-antilles.fr/hal-01165881
https://hal.univ-antilles.fr/hal-01165881/document
https://hal.univ-antilles.fr/hal-01165881/file/IGS_2015_submission_15.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Indic scripts are among few scripts in the world that have had continuous development for more than two millennia. The modern forms of the scripts are the result of infinitesimal changes in handwriting being accumulated over centuries. They present us with a unique opportunity to understand various changes occurring in handwriting behavior. We have taken four major Indic scripts in six different stages of evolution and extracted features quantifying their handwriting behavior. We have derived these features by applying the principles of handwriting production and gesture analysis on a paleographic data set. We present various trends and behaviors that occurred during script development and discuss our interpretation of the results in terms of evolution of handwriting behavior. We then briefly discuss the detailed analyses that will be performed on the dataset in the future. We also consider the applications of these results in digital paleography and handwriting-driven systems.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165770
https://hal.univ-antilles.fr/hal-01165770
https://hal.univ-antilles.fr/hal-01165770/document
https://hal.univ-antilles.fr/hal-01165770/file/IGS_2015_submission_8.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper we describe the various steps of a method using local descriptors in order to classify freehand sketches, which are drawn in an unconstrained manner and recorded online. Our final objective is to simultaneously allow classification, comparison or clustering of those elements according to their Visuo spatial properties, their realization strategies, their structural or temporal parameters, or any combination of two or more of those parameters. The context and the motivation of this work-in-progress are described. First, we'll explain the detection step: we decided to use a mixed segmentation process. Indeed recognition methods based on local descriptor are not fully adapted to our types of shapes and to the one-line context. Later, we will show how we plan to give a global perception of the shape to our local descriptor by using segmentation results. Then we will introduce the local descriptor and how it is computing. Next we'll explain how we calculate the dissimilarity between two descriptors. Finally, we'll describe the approach we have chosen to determine the dissimilarity between shapes represented by sets of local descriptors.
Proceedings of the 14th Biennial Conference of the International Graphonomics Society

hal-00514930
https://hal.archives-ouvertes.fr/hal-00514930

Éditeur(s) : HAL CCSD
Résumé : International audience
The large majority of methods proposed in literature for handwriting recognition assume that words are produced drawing large parts of the ink without lifting the pen, other than horizontal bars and dots. This fundamental assumption, however, does not always hold: while some educational systems provide explicit training for producing continuous handwriting, minimizing the number of pen-up during the production of a word, others do not. As a consequence, whenever the handwriting presents pen-up within a word, the recognition performance can drop significantly. In a preliminary study, we presented an algorithm for discriminating among different types of ink appearing in handwriting, namely isolated characters, cursive, dots, horizontal and vertical bars, based on the use of a suitable set of features. In this paper, we have characterized the discriminative power of each considered feature according to different measures and we have proposed a method for combining the different feature rankings. We have also used the Fischer's Linear Discriminant Analysis (LDA) for exhaustively selecting the best feature subsets with increasing number of features. Finally, we have compared the results obtained by using the feature subsets provided by LDA with those obtained with the feature subsets selected according to our feature ranking. The experimental results, on different datasets of handwritten words, showed that our approach successfully achieves its aim allowing to reduce the computational cost without affecting the overall performance of the recognition process.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165877
https://hal.univ-antilles.fr/hal-01165877
https://hal.univ-antilles.fr/hal-01165877/document
https://hal.univ-antilles.fr/hal-01165877/file/IGS_2015_submission_13.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
OBJECTIVE: To assess sperm production and aneuploidy in Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL) before and after treatments. DESIGN: Multicenter, prospective, longitudinal study of lymphoma patients analyzed before treatment and after 3, 6, 12, and 24 months. SETTING: University hospitals. PATIENT(S): Forty-five HL and 13 NHL patients were investigated before and after treatment. Treatment regimens were classified in two groups: ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) with or without (+/-) radiotherapy, and CHOP (doxorubicin, cyclophosphamide, vincristine, prednisone)/MOPP-ABV (mechlorethamine, oncovin, procarbazine, prednisone-doxorubicin, bleomycin, vinblastine). A control group of 29 healthy men was also studied. INTERVENTION(S): Semen analyses and aneuploidy study by FISH were performed at each time point. MAIN OUTCOME MEASURE(S): Comparison of mean sperm characteristics and percentage of sperm aneuploidy rates before and after treatment. RESULT(S): Before treatment, HL and NHL men had altered semen characteristics and higher sperm aneuploidy rates (median 0.76 [interquartile range 0.56-0.64]) than the control group (0.54 [0.46-0.74]). After treatment, sperm production was significantly lowered 3 and 6 months after ABVD +/- radiotherapy or CHOP/MOPP-ABV. After ABVD +/- radiotherapy, the aneuploidy rate increased significantly only at 3 months, and values obtained 1 or 2 years later were lower than pretreatment values. In contrast, in the CHOP/MOPP-ABV treatment group, semen characteristics and aneuploidy rate did not return to normal levels until 2 years after treatment. CONCLUSION(S): Lymphoma itself has consequences on sperm aneuploidy frequency before treatment. Moreover, lymphoma treatments have deleterious effects on sperm chromosomes related to treatment type and time since treatment. Patient counseling is essential concerning the transient but significant sperm aneuploidy induced by lymphoma and its treatments.
Fertility and sterility

hal-01477204
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01477204
DOI : 10.1016/j.fertnstert.2016.10.001
PUBMED : 27810161

Éditeur(s) : HAL CCSD
Résumé : International audience
Handwritten signatures are considered one of the most useful biometric traits for personal verification. In the networked society, in which a multitude of different devices can be used for signature acquisition, specific research is still needed to determine the extent to which features of an input signature depend on the characteristics of the signature apposition process. In this paper an experimental investigation was carried out on constrained signatures, which were acquired using writing boxes having different area and shape, and the different behaviour of dynamic features with respect to the writing boxes are discussed.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165894
https://hal.univ-antilles.fr/hal-01165894
https://hal.univ-antilles.fr/hal-01165894/document
https://hal.univ-antilles.fr/hal-01165894/file/IGS_2015_submission_23.pdf

Éditeur(s) : HAL CCSD Frontiers
Résumé : International audience
The generation of handwriting is a complex neuromotor skill requiring the interaction of many cognitive processes. It aims at producing a message to be imprinted as an ink trace left on a writing medium. The generated trajectory of the pen tip is made up of strokes superimposed over time. The Kinematic Theory of rapid human movements and its family of lognormal models provide analytical representations of these strokes, often considered as the basic unit of handwriting. This paradigm has not only been experimentally confirmed in numerous predictive and physiologically significant tests but it has also been shown to be the ideal mathematical description for the impulse response of a neuromuscular system. This latter demonstration suggests that the lognormality of the velocity patterns can be interpreted as reflecting the behavior of subjects who are in perfect control of their movements. To illustrate this interpretation, we present a short overview of the main concepts behind the Kinematic Theory and briefly describe how its models can be exploited, using various software tools, to investigate these ideal lognormal behaviors. We emphasize that the parameters extracted during various tasks can be used to analyze some underlying processes associated with their realization. To investigate the operational convergence hypothesis, we report on two original studies. First, we focus on the early steps of the motor learning process as seen as a converging behavior toward the production of more precise lognormal patterns as young children practicing handwriting start to become more fluent writers. Second, we illustrate how aging affects handwriting by pointing out the increasing departure from the ideal lognormal behavior as the control of the fine motricity begins to decline. Overall, the paper highlights this developmental process of merging toward a lognormal behavior with learning, mastering this behavior to succeed in performing a given task, and then gradually deviating from it with aging.
ISSN: 1664-1078

hal-01098124
https://hal.archives-ouvertes.fr/hal-01098124
DOI : 10.3389/fpsyg.2013.0094

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper addresses the problem of word spotting in handwritten documents. The method is segmentation-free and follows the query-by-string paradigm. In the paper, we focus on the first step of the whole bio-inspired process that is based on two filtering steps, which are a global filtering followed by a more local filtering after a change of observation scale. The contribution of this approach is the use and the generalization of the Haar-Like-Features for the analysis of the document images, inspired from the famous visual perception principle. Different pieces of information are extracted from the whole image before drawing a conclusion, after a process of accumulation of votes. The method is evaluated using the IAM Handwriting Database.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165920
https://hal.univ-antilles.fr/hal-01165920
https://hal.univ-antilles.fr/hal-01165920/document
https://hal.univ-antilles.fr/hal-01165920/file/IGS_2015_submission_33.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Signatures provide a convenient and widely accepted method of authentication, however they are prone to attack by forgery. This can be mitigated to an extent by analysing both the static and dynamic biometric aspects of construction, however the possibly for accurate forgery from a static image of a genuine signature still exists. In this study we explore initial forgery accuracy of a range of genuine signatures and how accuracy changes as a forger receives feedback from a commercial signature engine in terms of a 'match score'. We also explore the effects of genuine signature complexity on forgery performance alongside the image size of the genuine signature to be forged. Our results show that forgers are able improve performance over time on simple signatures (including those with less pen travel distance) and that a magnified genuine sample enables more accurate forgery for these class of signatures. More complex signatures result in lower forged verification scores and irregular patterns of improvement across the five forgeries. Overall verification match scores were typically less than 80% for most attempts regardless of signature complexity, thus indicating the resilience of dynamic systems to unskilled forgery attempts.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165763
https://hal.univ-antilles.fr/hal-01165763
https://hal.univ-antilles.fr/hal-01165763/document
https://hal.univ-antilles.fr/hal-01165763/file/IGS_2015_submission_1.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
This article proposes a new indicator for handwriting examination in text independent framework. Experiments of writer identification are addressed using only handwritten short lines instead of a whole character. After preprocessing such as binarization and contours extraction, profiles of contours of handwritten lines were decomposed with fifth scales wavelet decomposition. As the result, we obtained indicators which showed qualities of handwritten lines such as smooth or jaggy. The indicators were analysed with Principle Component Analysis (PCA), and eigen vectors were obtained. In a phase of writer identification, using Kernel Orthogonal Mutual Subspace Method (KOMSM), subspace was calculated by the eigen vectors. The result obtained through the experiments was not enough to satisfy. In future works, the proposed method will be applied to whole handwritten characters.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165761
https://hal.univ-antilles.fr/hal-01165761
https://hal.univ-antilles.fr/hal-01165761/document
https://hal.univ-antilles.fr/hal-01165761/file/IGS_2015_submission_2.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
We present a model of the spinal cord in controlling one degree-of-freedom arm movements. The model includes both neural and musculoskeletal functions in an integrated framework. The model has been implemented by an artificial neural network coupled with a computational model of muscle publicly available. The experimental results show that the model is able to regulate the position of the arm and to mediate reflex actions by integrating commands from CNS and signals from proprioceptors.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165882
https://hal.univ-antilles.fr/hal-01165882
https://hal.univ-antilles.fr/hal-01165882/document
https://hal.univ-antilles.fr/hal-01165882/file/IGS_2015_submission_17.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper, we introduce a framework for on-line learning of handwritten symbols from scratch. As such, learning suffers from missing data at the beginning of the learning process, in this paper we propose the use of Sigma-lognormal model to generate synthetic data. Our framework deals with a real-time use of the system, where the recognition of a single symbol cannot be postponed by the generation of synthetic data. We evaluate the use of our framework and Sigma-lognormal model by comparison of the recognition rate to a block-learning and learning without any synthetic data. Experimental results show that both of these contributions represent an enhancement to the on-line handwriting recognition, especially when starting from scratch.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165923
https://hal.univ-antilles.fr/hal-01165923
https://hal.univ-antilles.fr/hal-01165923/document
https://hal.univ-antilles.fr/hal-01165923/file/IGS_2015_submission_34.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Drawing and handwriting are communicational skills that are fundamental in geopolitical, ideological and technological evolutions of all time. drawingand handwriting are still useful in defining innovative applications in numerous fields. In this regard, researchers have to solve new problems like those related to the manner in which drawing and handwriting become an efficient way to command various connected objects; or to validate graphomotor skills as evident and objective sources of data useful in the study of human beings, their capabilities and their limits from birth to decline.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

Droits : http://creativecommons.org/licenses/by-nc-nd/
ISBN : 979-10-95177-01-2
hal-01166509
https://hal.univ-antilles.fr/hal-01166509
https://hal.univ-antilles.fr/hal-01166509/document
https://hal.univ-antilles.fr/hal-01166509/file/IGS2015proceedingsvHal-1.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
We present a novel approach towards signature recognition from spatio-temporal data. The data is obtained by recording gyroscope and accelerometer measurements from an embedded pen device. The idea of Universum learning was previously presented by Vapnik and recently popularized in machine learning community. It assumes that the decision boundary of a classifier lies close to data with high uncertainty. The quality of the final classifier strongly depends on a way how to choose the Universum data and also on the representation of original data. In our paper we use a novel approach of Universum learning to classify signature data, also we present our novel idea how to sample the Universum data. At last, we also find more effective representation of the signature data itself compared to the baseline method. These three novelties allow us to outperform previously published results by 4.89% / 5.58%.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165925
https://hal.univ-antilles.fr/hal-01165925
https://hal.univ-antilles.fr/hal-01165925/document
https://hal.univ-antilles.fr/hal-01165925/file/IGS_2015_submission_38.pdf