Name
Abstract | ||
|---|---|---|
We present a study of selection techniques for low-cost mobile VR devices, such as Google Cardboard, using the outward facing camera on modern smartphones. We compared three selection techniques, air touch, head ray, and finger ray. Initial evaluation indicates that hand-basal selection (air touch) sets the worst. A ray cast using the tracked finger position offered much higher selection performance. Our results suggest that camera-based mobile tracking is feasible with ray-based techniques. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VR.2019.8797772 | 2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) |
Keywords | Field | DocType |
Mobile VR, selection, Google Cardboard | Computer vision,Virtual reality,Google Cardboard,Mobile tracking,Computer science,cardboard,Human-centered computing,Artificial intelligence | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siqi Luo | 1 | 0 | 0.34 |
| Robert J. Teather | 2 | 329 | 33.04 |