2019年12月9日
VR application framework for collecting sensor data in risky situations
Middleware Demos and Posters 2019 - Proceedings of the 2019 20th International Middleware Conference Demos and Posters, Part of Middleware 2019
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- 開始ページ
- 31
- 終了ページ
- 32
- 記述言語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1145/3366627.3368119
- 出版者・発行元
- ACM
© 2019 Copyright held by the owner/author(s). Some recent smartphone apps detect and predict dangerous situations and warn users. Since these apps detect users’ situations by leveraging machine learning methods based on smartphone sensor data, a large amount of training data is required to construct detection models. However, it is difficult to collect such data, especially in dangerous situations. This research proposes a Virtual Reality (VR) application framework for collecting sensor data in virtual dangerous situations in VR space.
- リンク情報
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- DOI
- https://doi.org/10.1145/3366627.3368119
- DBLP
- https://dblp.uni-trier.de/rec/conf/middleware/AmanoAUHYHSHK19
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078885880&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85078885880&origin=inward
- Dblp Cross Ref
- https://dblp.uni-trier.de/conf/middleware/2019p
- Dblp Url
- https://dblp.uni-trier.de/db/conf/middleware/middleware2019p.html#AmanoAUHYHSHK19
- ID情報
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- DOI : 10.1145/3366627.3368119
- DBLP ID : conf/middleware/AmanoAUHYHSHK19
- SCOPUS ID : 85078885880