Intelligent Dental Handpiece: Real-Time Motion Analysis for Skill Development

Modern dental education increasingly calls for smarter tools that combine precision with meaningful feedback. In response, this study presents the Intelligent Dental Handpiece (IDH), a next-generation training tool designed to support dental students and professionals by providing real-time insights into their techniques. The IDH integrates motion sensors and a lightweight machine learning system to monitor and classify hand movements during practice sessions. The system classifies three motion states: Alert (10°-15° deviation), Lever Range (0°-10°), and Stop Range (>15°), based on IMU-derived features. A dataset collected from 61 practitioners was used to train and evaluate three machine learning models: Logistic Regression, Random Forest, Support Vector Machine (Linear RBF, Polynomial kernels), and a Neural Network. Performance across models ranged from 98.52% to 100% accuracy, with Random Forest and Logistic Regression achieving perfect classification and AUC scores of 1.00. Motion features such as Deviation, Take Time, and Device type were most influential in predicting skill levels. The IDH offers a practical and scalable solution for improving dexterity, safety, and confidence in dental training environments.

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Publication Details

Journal
Sensors
Published
2025-10-21
DOI
https://doi.org/10.3390/s25206489
Citations
2
Primary Topic
Dental Research and COVID-19
Type
article
Field-Weighted Citation Impact
5.65

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article

Intelligent Dental Handpiece: Real-Time Motion Analysis for Skill Development

Esraa Khatab, Mohamed Hany Sallam, Yassin Osman, Omar Shalash et al.
2 citations
Sensors
Dental Research and COVID-19
5.65
article

Intelligent Dental Handpiece: Real-Time Motion Analysis for Skill Development

Esraa Khatab, Mohamed Hany Sallam, Yassin Osman, Omar Shalash, Abdelfattah A. Hegazy, Yousef Salah
article en
2 citations

Abstract

Modern dental education increasingly calls for smarter tools that combine precision with meaningful feedback. In response, this study presents the Intelligent Dental Handpiece (IDH), a next-generation training tool designed to support dental students and professionals by providing real-time insights into their techniques. The IDH integrates motion sensors and a lightweight machine learning system to monitor and classify hand movements during practice sessions. The system classifies three motion states: Alert (10°-15° deviation), Lever Range (0°-10°), and Stop Range (>15°), based on IMU-derived features. A dataset collected from 61 practitioners was used to train and evaluate three machine learning models: Logistic Regression, Random Forest, Support Vector Machine (Linear RBF, Polynomial kernels), and a Neural Network. Performance across models ranged from 98.52% to 100% accuracy, with Random Forest and Logistic Regression achieving perfect classification and AUC scores of 1.00. Motion features such as Deviation, Take Time, and Device type were most influential in predicting skill levels. The IDH offers a practical and scalable solution for improving dexterity, safety, and confidence in dental training environments.

SensorsVol. 25(20)
Ajman University (AE), Arab Academy for Science, Technology, and Maritime Transport (EG), Heriot-Watt University Dubai (AE)
Ajman University
Openalex Percentile: Top 4%
Dental Research and COVID-19
5.65
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Intelligent Dental Handpiece: Real-Time Motion Analysis for Skill Development — Esraa Khatab, Mohamed Hany Sallam, et al. · Sensors (2025) | TGRS Research Map | TGRS