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Cliffhanger-VR

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26

Project log

Marcel Tiator
added a research item
The perception of the movement of the own fingers is important in VR. Also the sense of touch of the hands provide crucial information about an object that is touched. This is especially noticeable when climbing in VR. While prototyping a VR climbing application, we developed the finger tracking glove g 1. Glove g 1 enables the perception of the finger movements but limits the sense of touch of the hand. Hence, we developed the proposed glove g 2 that enables to feel objects with the skin of the palm and the finger tips. In this paper we describe the iterative design process of g 2. Furthermore, pros and cons of g 2 compared to g 1 are discussed. Finally, an outlook of a future study about the measurement of the presence and the body ownership is given.
Hendrik Preu
added 2 research items
Scary climbing situations can appear when climbing on big walls. Some stones may be slippery due to humidity or smoothness and distances between belaying bolts can be large whereby a deep fall is risked. In such situations, the stress level increases, climbing performance decreases and an ascent might even be aborted. Furthermore, hazardous accidents can happen when the concentration is disturbed by stress and fear. Moreover, a beginner has to overcome some hurdles such as learning movements and belaying techniques as well as overcoming acrophobia or fear of falling down. We try to facilitate these hurdles with augmentation of the human in Mixed Reality (MR) superhuman sport climbing. In this paper, we present the development of a MR climbing system that tackles these hurdles by allowing a user to climb in safe height at ground level in reality while seeing his or her own body visualised in a much more demanding situation (e.g. in the middle of a big wall) in a Virtual Environment (VE) through a HMD. Additionally an audience can be integrated into the VE via a collaboration with an operator of a virtual drone. The drone operator has the ability to provide additional feedback, e.g. point to a certain stone with a virtual laser and can communicate with the climber via microphone. Hence, if a climber gets stuck in a climbing route, the drone operator can suggest the next move in the VE.