P. Rohith, S. Krishnachandran, S. Deepu, R. R. Bhavani
{"title":"A Study on the Development of a VR-Haptics Training Module for Cup-Lock Scaffolding","authors":"P. Rohith, S. Krishnachandran, S. Deepu, R. R. Bhavani","doi":"10.1109/ICALT55010.2022.00100","DOIUrl":null,"url":null,"abstract":"This paper presents a study for the design and development of a Virtual-Haptics-based pre-training module for a cup lock scaffolding assembly. The study was conducted in the form of an interview among scaffolding experts and novices. The study brings out the shortcomings of existing training methods, the scope for a VR-Haptic-based pre-training module and the expectations and acceptability of such a new system. The skill requirements for scaffolding work are also discussed in this paper. The major hand movements of the user are categorized and motion analysis of the arm joints is taken from recorded scaffolding assembly videos by the use of Mediapipe. The proposed system can help in reframing the conventional training systems and thereby fasten the learning process.","PeriodicalId":221464,"journal":{"name":"2022 International Conference on Advanced Learning Technologies (ICALT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT55010.2022.00100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a study for the design and development of a Virtual-Haptics-based pre-training module for a cup lock scaffolding assembly. The study was conducted in the form of an interview among scaffolding experts and novices. The study brings out the shortcomings of existing training methods, the scope for a VR-Haptic-based pre-training module and the expectations and acceptability of such a new system. The skill requirements for scaffolding work are also discussed in this paper. The major hand movements of the user are categorized and motion analysis of the arm joints is taken from recorded scaffolding assembly videos by the use of Mediapipe. The proposed system can help in reframing the conventional training systems and thereby fasten the learning process.