Survey on multisensory feedback virtual reality dental training systems.
Identifieur interne : 003D43 ( Ncbi/Curation ); précédent : 003D42; suivant : 003D44Survey on multisensory feedback virtual reality dental training systems.
Auteurs : D. Wang [République populaire de Chine] ; T. Li [République populaire de Chine] ; Y. Zhang [République populaire de Chine] ; J. Hou [République populaire de Chine]Source :
- European journal of dental education : official journal of the Association for Dental Education in Europe [ 1600-0579 ] ; 2015.
Abstract
Compared with traditional dental training methods, virtual reality training systems integrated with multisensory feedback possess potentials advantages. However, there exist many technical challenges in developing a satisfactory simulator. In this manuscript, we systematically survey several current dental training systems to identify the gaps between the capabilities of these systems and the clinical training requirements. After briefly summarising the components, functions and unique features of each system, we discuss the technical challenges behind these systems including the software, hardware and user evaluation methods. Finally, the clinical requirements of an ideal dental training system are proposed. Future research/development areas are identified based on an analysis of the gaps between current systems and clinical training requirements.
DOI: 10.1111/eje.12173
PubMed: 26547278
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<front><div type="abstract" xml:lang="en">Compared with traditional dental training methods, virtual reality training systems integrated with multisensory feedback possess potentials advantages. However, there exist many technical challenges in developing a satisfactory simulator. In this manuscript, we systematically survey several current dental training systems to identify the gaps between the capabilities of these systems and the clinical training requirements. After briefly summarising the components, functions and unique features of each system, we discuss the technical challenges behind these systems including the software, hardware and user evaluation methods. Finally, the clinical requirements of an ideal dental training system are proposed. Future research/development areas are identified based on an analysis of the gaps between current systems and clinical training requirements.</div>
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