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Diagnosis of Parkinson Disease using Handwriting Analysis

by Nihar Ranjan, Divya Umesh Kumar, Vaishnavi Dongare, Kiran Chavan, Yuvraj Kuwar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 1
Year of Publication: 2022
Authors: Nihar Ranjan, Divya Umesh Kumar, Vaishnavi Dongare, Kiran Chavan, Yuvraj Kuwar
10.5120/ijca2022921958

Nihar Ranjan, Divya Umesh Kumar, Vaishnavi Dongare, Kiran Chavan, Yuvraj Kuwar . Diagnosis of Parkinson Disease using Handwriting Analysis. International Journal of Computer Applications. 184, 1 ( Mar 2022), 13-16. DOI=10.5120/ijca2022921958

@article{ 10.5120/ijca2022921958,
author = { Nihar Ranjan, Divya Umesh Kumar, Vaishnavi Dongare, Kiran Chavan, Yuvraj Kuwar },
title = { Diagnosis of Parkinson Disease using Handwriting Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2022 },
volume = { 184 },
number = { 1 },
month = { Mar },
year = { 2022 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number1/32296-2022921958/ },
doi = { 10.5120/ijca2022921958 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:17.794135+05:30
%A Nihar Ranjan
%A Divya Umesh Kumar
%A Vaishnavi Dongare
%A Kiran Chavan
%A Yuvraj Kuwar
%T Diagnosis of Parkinson Disease using Handwriting Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 1
%P 13-16
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Parkinson is a neurodegenerative disease that affects your ability to control movement. Parkinson's disease starts slowly and worsens over time. The cured for Parkinson’s disease is still unknown; medications might significantly improve your symptoms. Researchers suggest that early diagnosis of Parkinson can help improve the quality of the patient’s life. In this survey, handwriting or drawings is considered as an aspect for detecting Parkinson disease using machine learning algorithm such as Random Forest Classifier and for detailed analysis of the drawings we use, Histogram of Oriented Gradients (HOG). We take drawings drawn by Parkinson patients as well as healthy people as input for detecting the Parkinson disease

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Index Terms

Computer Science
Information Sciences

Keywords

Parkinson Disease(PD) Handwriting Analysis.

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