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

2017 ◽  
pp. 493-503 ◽  
Author(s):  
Claudio Loconsole ◽  
Gianpaolo Francesco Trotta ◽  
Antonio Brunetti ◽  
Joseph Trotta ◽  
Angelo Schiavone ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease ◽  
Handwriting Analysis

A model-free technique based on computer vision and sEMG for classification in Parkinson’s disease by using computer-assisted handwriting analysis

2019 ◽  
Vol 121 ◽  
pp. 28-36 ◽  
Author(s):  
Claudio Loconsole ◽  
Giacomo Donato Cascarano ◽  
Antonio Brunetti ◽  
Gianpaolo Francesco Trotta ◽  
Giacomo Losavio ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease ◽  
Computer Assisted ◽  
Handwriting Analysis ◽  
Model Free

scholarly journals A computer vision framework for finger-tapping evaluation in Parkinson's disease

2014 ◽  
Vol 60 (1) ◽  
pp. 27-40 ◽  
Author(s):  
Taha Khan ◽  
Dag Nyholm ◽  
Jerker Westin ◽  
Mark Dougherty
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease ◽  
Finger Tapping

scholarly journals Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 156620-156645 ◽  
Author(s):  
Navleen Kour ◽  
Sunanda ◽  
Sakshi Arora
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease

scholarly journals Automated computer vision assessment of hypomimia in Parkinson’s disease (Preprint)

10.2196/21037 ◽  
2020 ◽  
Author(s):  
Avner Abrami ◽  
Steven Gunzler ◽  
Camilla Kilbane ◽  
Rachel Ostrand ◽  
Bryan Ho ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease ◽  
Vision Assessment

scholarly journals A new computer vision-based approach to aid the diagnosis of Parkinson's disease

2016 ◽  
Vol 136 ◽  
pp. 79-88 ◽  
Author(s):  
Clayton R. Pereira ◽  
Danilo R. Pereira ◽  
Francisco A. Silva ◽  
João P. Masieiro ◽  
Silke A.T. Weber ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Computer Vision ◽  
Parkinson's Disease

Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson’s disease and atypical parkinsonism

2019 ◽  
Vol 64 (2) ◽  
pp. 187-194 ◽  
Author(s):  
Vera Miler Jerkovic ◽  
Vladimir Kojic ◽  
Natasa Dragasevic Miskovic ◽  
Tijana Djukic ◽  
Vladimir S. Kostic ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Healthy Subjects ◽  
Real Data ◽  
Data Sets ◽  
Atypical Parkinsonism ◽  
Handwriting Analysis ◽  
Kinematic Parameters ◽  
Air Movement

Abstract The purpose of this paper is to emphasize the importance of in-air movement besides on-surface movement for handwriting analysis. The proposed method uses a classification of drawing healthy subjects and subjects with Parkinson’s disease, according to their on-surface and in-air handwriting parameters during their writing on a graphical tablet. Experimental results on real data sets demonstrate that the highest accuracy of subject’s classification was obtained by combining both on-surface and in-air kinematic parameters.

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