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Mathematical Biosciences and Engineering
Article . 2020 . Peer-reviewed
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Mathematical Biosciences and Engineering
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https://dx.doi.org/10.60692/46...
Other literature type . 2020
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Other literature type . 2020
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Three-dimensional mandibular motion trajectory-tracking system based on BP neural network

نظام تتبع مسار حركة الفك السفلي ثلاثي الأبعاد بناءً على الشبكة العصبية لضغط الدم
Authors: Sukun Tian; Ning Dai; Lin Lin Li; Weiwei Li; Yu Chun Sun; Xiao Sheng Cheng;

Three-dimensional mandibular motion trajectory-tracking system based on BP neural network

Abstract

L'objectif de cette étude était de développer un prototype de système de capture de mouvement optique tridimensionnel basé sur la vision stéréo binoculaire, le réseau neuronal de rétropropropagation (BP) et la méthode de compilation 3D pour un enregistrement précis et en temps réel du mouvement mandibulaire. Une méthode 3D spécialisée de compensation pour éliminer les mouvements de vibration involontaires par les battements du cœur humain et la respiration. Une sorte de méthode de mesure 3D visuelle binoculaire basée sur la ligne de projection et une méthode d'étalonnage basée sur le réseau neuronal BP sont proposées pour résoudre le problème de la grande complexité du processus d'étalonnage de la caméra et de la faible précision de la mesure 3D. La précision du système proposé est systématiquement évaluée au moyen d'une plate-forme électrique et d'essais cliniques, et la moyenne quadratique est de 0,0773 mm. Enfin, les comparaisons avec des méthodes de pointe démontrent que notre système est plus fiable et plus précis. Pendant ce temps, le système de suivi de trajectoire de mouvement devrait être utilisé dans le diagnostic des maladies bucco-dentaires cliniques et la conception numérique de la restauration.

El objetivo de este estudio fue desarrollar un prototipo de sistema de captura de movimiento óptico tridimensional basado en visión estéreo binocular, red neuronal de retropropagación (BP) y método de compensación 3D para el registro preciso y en tiempo real del movimiento mandibular. Un método 3D especializado de compensación para eliminar los movimientos de vibración involuntarios por los latidos del corazón humano y la respiración. Se propone un tipo de método de medición 3D visual binocular basado en la línea de proyección y un método de calibración basado en la red neuronal BP para resolver el problema de la alta complejidad del proceso de calibración de la cámara y la baja precisión de la medición 3D. La precisión del sistema propuesto se evalúa sistemáticamente mediante plataforma eléctrica y ensayos clínicos, y la media cuadrática es de 0,0773 mm. Por último, las comparaciones con métodos de última generación demuestran que nuestro sistema tiene una mayor fiabilidad y precisión. Mientras tanto, se espera que el sistema de seguimiento de la trayectoria del movimiento se utilice en el diagnóstico de enfermedades orales clínicas y en el diseño digital de la restauración.

The aim of this study was to develop a prototype three-dimensional optical motion capture system based on binocular stereo vision, Back-propagation (BP) Neural Network and 3D compen-sation method for accurate and real-time recording of mandibular movement. A specialized 3D method of compensation to eliminate the involuntary vibration motions by human heart beating and respiration. A kind of binocular visual 3D measurement method based on projection line and a calibration method based on BP neural network is proposed to solve the problem of the high complexity of camera calibration process and the low accuracy of 3D measurement. The accuracy of the proposed system is systematically evaluated by means of electric platform and clinical trials, and the root-mean-square is 0.0773 mm. Finally, comparisons with state-of-the-art methods demonstrate that our system has higher reliability and accuracy. Meanwhile, the motion trajectory-tracking system is expected to be used in the diagnosis of clinical oral diseases and digital design of restoration.

كان الهدف من هذه الدراسة هو تطوير نموذج أولي لنظام التقاط الحركة الضوئية ثلاثي الأبعاد بناءً على رؤية ستيريو مجهر وشبكة عصبية للانتشار الخلفي وطريقة تعويض ثلاثية الأبعاد لتسجيل دقيق وفي الوقت الفعلي لحركة الفك السفلي. طريقة ثلاثية الأبعاد متخصصة للتعويض للقضاء على حركات الاهتزاز اللاإرادي عن طريق نبض القلب البشري والتنفس. يُقترح نوع من طريقة القياس ثلاثية الأبعاد المرئية ثنائية العينين بناءً على خط الإسقاط وطريقة المعايرة بناءً على الشبكة العصبية لضغط الدم لحل مشكلة التعقيد العالي لعملية معايرة الكاميرا والدقة المنخفضة للقياس ثلاثي الأبعاد. يتم تقييم دقة النظام المقترح بشكل منهجي عن طريق المنصة الكهربائية والتجارب السريرية، ومربع الجذر المتوسط هو 0.0773 مم. أخيرًا، توضح المقارنات مع أحدث الأساليب أن نظامنا يتمتع بموثوقية ودقة أعلى. وفي الوقت نفسه، من المتوقع استخدام نظام تتبع مسار الحركة في تشخيص أمراض الفم السريرية والتصميم الرقمي للترميم.

Related Organizations
Keywords

Radiology, Nuclear Medicine and Imaging, Artificial intelligence, bp neural network, Compensation (psychology), Astronomy, Trajectory, Mandible, motion capture system, Vertebrae Detection, Engineering, Psychology, Motion (physics), Pedagogy, Physics, Statistics, Power (physics), FOS: Psychology, Gesture Recognition in Human-Computer Interaction, Reliability (semiconductor), Physical Sciences, Calibration, Medicine, Biotechnology, Artificial neural network, Movement, Gesture Recognition, Biomedical Engineering, Depth Sensor, mandible movement, FOS: Medical engineering, Quantum mechanics, Psychoanalysis, Imaging, Three-Dimensional, Tracking (education), Health Sciences, QA1-939, FOS: Mathematics, Humans, Automated Spine Segmentation and Identification, 3d compensation method, Reproducibility of Results, Computer science, Process (computing), Human-Computer Interaction, binocular stereo vision, Operating system, Medical Applications of Infrared Thermography, Computer Science, Computer vision, Neural Networks, Computer, Binocular vision, TP248.13-248.65, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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