Data · dataset · 2025
Artificial Intelligence Operated Dental Handpiece for Dental Students Practice
Listed in Teesside University Research Data Repository
A 3720 record of data were collected from the prototype mentioned 2 from 61 practitioners (29 Male and 31 Female) with an average age of 38.
Description
The data were collected while performing opening cavities for fillings. The data consists of the following: ID, State, Time, Deviation, Roll, Pitch, Yaw, Acceleration, and Velocity.
The ID is the practitioner ID that was assigned to him to store his information separately. The second parameter is the state, which is represented by three forms: Lever Range, Alert Range, and Stop Range. The state was determined based on observation.
Read the rest (2 more)
The Device Roll, Pitch and Yaw describe the rotation axis of the device. Finally the Acceleration and Velocity which describes the motion state at the given time. Please reference our work by citing our article: "Artificial Intelligence Operated Dental Handpiece for Dental Students Practice: A Step Towards Precision and Automation" For collaboration about the prototype please contact Dr.
Omar Shalash, email: omar.o.shalash@aast.edu or Dr. Esraa Khatab, email: e.khatab@hw.ac.uk
Links
Where it is published
- DOI doi.org/10.17632/h76rf38jkn.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Machine learning
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/h76rf38jkn.2 | 19 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |