Accuracy scores based on different feature combinations in the PaHaW dataset.

<p>Abbreviations: a-b represents the extraction of feature b from dynamic feature data a. Features include: k (kinematic), p (pressure), a (angle), m (moment), kpam (kinematic, pressure, angle, and moment), cf (common features), and tf (TF-ST features).</p>

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Bibliographic Details
Main Author:	Huimin Lu (4434682) (author)
Other Authors:	Guolian Qi (20614361) (author), Dalong Wu (19761057) (author), Chenglin Lin (20614364) (author), Songzhe Ma (20614367) (author), Yingqi Shi (11869700) (author), Han Xue (803892) (author)
Published:	2025
Subjects:	Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified experimental results showed enhance classification performance parkinson &# 8217 feature extraction method feature information lost div >< p based detection methods angle dynamic features although many features proposed method ’ proposed using handwriting dynamic handwriting features parkinson ’ features information dynamic handwriting moment feature many researchers existing feature based statistical handwriting ’ proposed handwriting discriminative features handwriting samples three types public datasets previous researches pd detection overall representation insight analysis incompletely represented important step global optimization extract time effectiveness respectively easy accessibility 89 %. 78 %, 67 %, 100 %,
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Accuracy scores based on different feature combinations in the PaHaW dataset.

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