Special Input Devices Integration to LIRKIS CAVE

Abstract LIRKIS CAVE is a unique immersive virtual reality installation with a compact cylinder-based construction and a high-quality stereoscopic video output rendered on twenty 55” Full HD LCD panels. While the video output of the CAVE provides a high level of immersion to a virtual world, its original implementation of peripherals support had a negative impact because of a limited number of supported devices and certain performance issues. In this paper we describe a new, distributed, peripheral devices support implementation for the LIRKIS CAVE, which solves the performance issues and allows for ease of integration of new input devices into the CAVE. We also present a successful integration of a special input device, the Myo armband,which allows a natural and unobtrusive gesture-based control of virtual environments. The integration includes a newly developed control and monitoring application for the Myo, called MLCCS, which utilization is not limited to CAVE systems or virtual reality applications.

[1]  刘磊,et al.  Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platforms , 2014 .

[2]  Charalambos Poullis,et al.  Navigation in virtual reality: Comparison of gaze-directed and pointing motion control , 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

[3]  Marek Piszczek,et al.  Positioning of objects for real-time application of virtual reality , 2016 .

[4]  Branislav Sobota,et al.  On architecture and performance of LIRKIS CAVE system , 2017, 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).

[5]  Bruno Arnaldi,et al.  #FIVE : High-level components for developing collaborative and interactive virtual environments , 2015, 2015 IEEE 8th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS).

[6]  Ning Zhang,et al.  vConnect: perceive and interact with real world from CAVE , 2015, Multimedia Tools and Applications.

[7]  Hao Jiang,et al.  MyoHMI: A low-cost and flexible platform for developing real-time human machine interface for myoelectric controlled applications , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[8]  Andras Kemeny,et al.  Evaluation of smartphone-based interaction techniques in a CAVE in the context of immersive digital project review , 2014, Electronic Imaging.

[9]  Esteban Walter Gonzalez Clua,et al.  Sensor Data Fusion for Full Arm Tracking Using Myo Armband and Leap Motion , 2015, 2015 14th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames).

[10]  William L. George,et al.  Application creation for an immersive virtual measurement and analysis laboratory , 2016, 2016 IEEE 9th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS).

[11]  Kang-Hee Lee,et al.  Study on Virtual Control of a Robotic Arm via a Myo Armband for the Self- Manipulation of a Hand Amputee , 2016 .