Virtual Reality is a booming field of development and research right now. Especially in the entertainment industry, games are coming out on a daily basis that try to take full advantage of the immersive qualities of VR. Other fields have not yet gained this spotlight fully. One of these is the field of natural image videos (1), where 360-degree videos are cast to VR goggles to let people experience real environments, such as: concerts, sports events, rollercoasters, deep see diving, and more. There are still many challenges to overcome in this field, both technical and conceptual. The project can therefore take two directions (or a mix of both):
One of the main challenges of Virtual Reality is the cables that get in the way. Those cables restrict movement and freedom. In the case of Natural Image Videos, it’s not just the head-mounted device that it wired, but also the camera. The goal of this project is therefore to build a robust, wireless, live-streaming system using the HTC Vive VR goggles, and the Ricoh Theta V.
Regardless of all the new experiences Virtual Reality has brought us, there are still many challenges to tackle in this field. Social Virtual Reality, for example, when more than one person is engaged with a system. Or the visuotactile mismatch that occurs: when your eyes see one thing, but your body experiences another. In this project direction, the goal is to explore and evaluate new concepts for Virtual Reality and natural image videos, by making and testing prototypes.
(1) Wen-Chih Lo, Ching-Ling Fan, Jean Lee, Chun-Ying Huang, Kuan-Ta Chen, and Cheng-Hsin Hsu. 2017. 360° Video Viewing Dataset in Head-Mounted Virtual Reality. In Proceedings of the 8th ACM on Multimedia Systems Conference (MMSys’17), 211–216. https://doi.org/10.1145/3083187.3083219
Type of Student
Bachelor student or Master student
- Basic Programming Skills
- Ability to work autonomously and in teams
- Problem-solving skills
- Basic knowledge of UX/IxD
- Experience with Unity/C#
- Experience with Python
- Experience with Tangible Computing (Arduino, Raspberry Pi, etc.)