Classifying a Sensorimotor Skill of Periodontal Probing

Vahan Babushkin, Muhammad Hassan Jamil, Dianne L. Sefo, Peter M. Loomer, Mohamad Eid

Producción científica: Conference contribution

Resumen

Currently available dental simulators provide a wide range of visual, auditory, and haptic cues to play back the pre-recorded skill, however, they do not extract skill descriptors and do not attempt to model the skill. To ensure efficient communication of a sensorimotor skill, a model that captures the skill's main features and provides real-time feedback and guidance based on the user's expertise is desirable. To develop this model, a complex periodontal probing skill can be considered as a composition of primitives, that can be extracted from the recordings of several professionals performing the probing task. This model will be capable of evaluating the user's proficiency level to ensure adaptation and providing corresponding guidance and feedback. We developed a SVM model that characterizes the sensorimotor skill of periodontal probing by detecting the specific region of the tooth being probed. We explore the features affecting the accuracy of the model and provide a reduced feature set capable of capturing the regions with relatively high accuracy. Finally, we consider the problem of periodontal pocket detection. The SVM model trained to detect pockets was able to achieve a recall around 0.68. We discuss challenges associated with pocket detection and propose directions for future work.

Idioma originalEnglish (US)
Título de la publicación alojada2023 9th International Conference on Automation, Robotics and Applications, ICARA 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas334-339
Número de páginas6
ISBN (versión digital)9781665489218
DOI
EstadoPublished - 2023
Evento9th International Conference on Automation, Robotics and Applications, ICARA 2023 - Abu Dhabi, United Arab Emirates
Duración: feb 10 2023feb 12 2023

Serie de la publicación

Nombre2023 9th International Conference on Automation, Robotics and Applications, ICARA 2023

Conference

Conference9th International Conference on Automation, Robotics and Applications, ICARA 2023
País/TerritorioUnited Arab Emirates
CiudadAbu Dhabi
Período2/10/232/12/23

ASJC Scopus subject areas

  • Computer Science Applications
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence

Huella

Profundice en los temas de investigación de 'Classifying a Sensorimotor Skill of Periodontal Probing'. En conjunto forman una huella única.

Citar esto