TY - GEN
T1 - Improvement of Dental Treatment Training System Using a Haptic Device
AU - Nomi, Masaki
AU - Okada, Yoshihiro
N1 - Funding Information:
Acknowledgments. This research was mainly supported by the project of ICER (Innovation Center for Educational Resources), Kyushu University Library, Kyushu University.
PY - 2021
Y1 - 2021
N2 - Students in a dental course have to pay a large amount of money for their training to become a dentist because they have to use expensive dentures in the dental treatment training that are discarded after the training. If we can provide virtual objects realized by 3D CG instead of the physical dentures, dental students can reduce their training costs drastically because such virtual objects can be used repeatedly and there are not any physical loss. Then, this paper treats a dental treatment training system. The research group of the authors have already proposed a dental treatment training system using a haptic device called Phantom. In this system, the treatment accuracy was not enough. So, the group tried to improve the system by adopting polygonal mesh subdivision. However, there still remain several problems. Therefore, the authors solved these problems and improved the treatment accuracy. This paper describes how the authors improved the system and also shows simple evaluation result to justify the improvement.
AB - Students in a dental course have to pay a large amount of money for their training to become a dentist because they have to use expensive dentures in the dental treatment training that are discarded after the training. If we can provide virtual objects realized by 3D CG instead of the physical dentures, dental students can reduce their training costs drastically because such virtual objects can be used repeatedly and there are not any physical loss. Then, this paper treats a dental treatment training system. The research group of the authors have already proposed a dental treatment training system using a haptic device called Phantom. In this system, the treatment accuracy was not enough. So, the group tried to improve the system by adopting polygonal mesh subdivision. However, there still remain several problems. Therefore, the authors solved these problems and improved the treatment accuracy. This paper describes how the authors improved the system and also shows simple evaluation result to justify the improvement.
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U2 - 10.1007/978-3-030-61108-8_14
DO - 10.1007/978-3-030-61108-8_14
M3 - Conference contribution
AN - SCOPUS:85092890651
SN - 9783030611071
T3 - Lecture Notes in Networks and Systems
SP - 143
EP - 153
BT - Advances on Broad-Band Wireless Computing, Communication and Applications - Proceedings of the 15th International Conference on Broad-Band and Wireless Computing, Communication and Applications, BWCCA 2020
A2 - Barolli, Leonard
A2 - Matsuo, Keita
A2 - Takizawa, Makoto
A2 - Enokido, Tomoya
A2 - Chen, Hsing-Chung
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2020, held in conjunction with the 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2020
Y2 - 28 October 2020 through 30 October 2020
ER -