Name
Abstract | ||
|---|---|---|
Using the motion behavior of users in virtual reality (VR) as a biometric signature has the potential to enable continuous identification and authentication of users without compromising VR applications if traditional passwords are acquired by malicious agents. Users exhibit natural variabilities in behavior over time that influence their body motions and can alter the trajectories of VR devices s... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/VR51125.2022.00076 | 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) |
Keywords | DocType | ISBN |
Training,Headphones,Deep learning,Three-dimensional displays,Biometrics (access control),Impedance matching,Virtual reality | Conference | 978-1-6654-9617-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Miller | 1 | 0 | 1.01 |
| Natasha Kholgade Banerjee | 2 | 0 | 0.34 |
| Sean Banerjee | 3 | 0 | 0.68 |