Name
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3366627.3368119 | Proceedings of the 20th International Middleware Conference Demos and Posters |
Keywords | Field | DocType |
sensor data, smartphone apps, virtual reality | Computer science,Human–computer interaction,Application framework | Conference |
ISBN | Citations | PageRank |
978-1-4503-7042-4 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tatsuya Amano | 1 | 0 | 2.37 |
| Ryota Akikawa | 2 | 0 | 0.34 |
| Akira Uchiyama | 3 | 78 | 14.48 |
| Akihito Hiromori | 4 | 42 | 13.19 |
| Hirozumi Yamaguchi | 5 | 371 | 60.93 |
| Higashino, T. | 6 | 19 | 15.19 |
| Masaki Suzuki | 7 | 0 | 1.35 |
| Yasuhiko Hiehata | 8 | 0 | 0.68 |
| Takeshi Kitahara | 9 | 82 | 25.52 |