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2017 | OriginalPaper | Buchkapitel

Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson’s Disease

verfasst von : Claudio Loconsole, Gianpaolo Francesco Trotta, Antonio Brunetti, Joseph Trotta, Angelo Schiavone, Sabina Ilaria Tatò, Giacomo Losavio, Vitoantonio Bevilacqua

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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Abstract

Handwriting analysis represents an important research area in different fields. From forensic science to graphology, the automatic dynamic and static analyses of handwriting tasks allow researchers to attribute the paternity of a signature to a specific person or to infer medical and psychological patients’ conditions. An emerging research field for exploiting handwriting analysis results is the one related to Neurodegenerative Diseases (NDs). Patients suffering from a ND are characterized by an abnormal handwriting activity since they have difficulties in motor coordination and a decline in cognition.

In this paper, we propose an approach for differentiating Parkinson’s disease patients from healthy subjects using a handwriting analysis tool based on a limited number of features extracted by means of both computer vision and ElectroMyoGraphy (EMG) signal-processing techniques and processed using an Artificial Neural Network-based classifier.

Finally, we report and discuss the results of an experimental test conducted with both healthy and Parkinson’s Disease patients using the proposed approach.

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Vorheriges Kapitel A Supervised Breast Lesion Images Classification from Tomosynthesis Technique

Nächstes Kapitel A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson’s Disease

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Titel: Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson’s Disease
verfasst von: Claudio Loconsole
Gianpaolo Francesco Trotta
Antonio Brunetti
Joseph Trotta
Angelo Schiavone
Sabina Ilaria Tatò
Giacomo Losavio
Vitoantonio Bevilacqua
Verlag: Springer International Publishing
Buch: Intelligent Computing Theories and Application
Print ISBN: 978-3-319-63311-4

Electronic ISBN: 978-3-319-63312-1

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63312-1_43

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