Parkinson's Disease Screening with Spiral-Hand-Sketch: A Study with MobileNet and KNN

Parkinson's disease (PD) is a degenerative neurological disorder, which affects motor ability and often interferes with a person's ability. This research presents an automated screening system to examine the PD's impact using the spiral-hand-sketches (SHS) using MobileNet (MN) based tool. The stages in this tool includes the following phases; (i) SHS collection and resizing, (ii) feature extraction using MN-based scheme, (iii) Classification with SoftMax and performance verification. This work aims to analyze the SHS using MN-variants and the outcome achieved with the binary classification is then considered to confirm the merit of the developed scheme. An experimental investigation confirms that the MobileNetV2 along with K-Nearest Neighbor (KNN) helped to achieve an accuracy >92% with the SHS database.

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Published
2025-03-27
DOI
https://doi.org/10.1109/icfts62006.2025.11031582
Citations
1
Primary Topic
Big Data and Digital Economy
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article
Field-Weighted Citation Impact
3.25
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article

Parkinson's Disease Screening with Spiral-Hand-Sketch: A Study with MobileNet and KNN

K.I.S.N. Vaishnavi, Mohammed Shahjahan Kabir, Mary Joseph, N. Basheer et al.
1 citations
Big Data and Digital Economy
3.25
article

Parkinson's Disease Screening with Spiral-Hand-Sketch: A Study with MobileNet and KNN

K.I.S.N. Vaishnavi, Mohammed Shahjahan Kabir, Mary Joseph, N. Basheer, مصطفى محمود منجود
article en
1 citations

Abstract

Parkinson's disease (PD) is a degenerative neurological disorder, which affects motor ability and often interferes with a person's ability. This research presents an automated screening system to examine the PD's impact using the spiral-hand-sketches (SHS) using MobileNet (MN) based tool. The stages in this tool includes the following phases; (i) SHS collection and resizing, (ii) feature extraction using MN-based scheme, (iii) Classification with SoftMax and performance verification. This work aims to analyze the SHS using MN-variants and the outcome achieved with the binary classification is then considered to confirm the merit of the developed scheme. An experimental investigation confirms that the MobileNetV2 along with K-Nearest Neighbor (KNN) helped to achieve an accuracy >92% with the SHS database.

Management and Science University (MY), St. Joseph's Institute of Technology (IN), Saveetha University (IN)
Openalex Percentile: Top 8%
Big Data and Digital Economy
3.25
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