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«Abstract The objective of the virtual reality glove is to empower consumers with an innovative high quality virtual reality experience and to advance ...»

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The designed prototype was able to fulfil the primary requirement of keeping the frame latency at no more than 42 milliseconds. For fine tuning the glove, it is necessary to take as many qualitative performance surveys as possible. This will made sure that a complete immersion of the subject into Virtual Reality was seamless. While a single USB plug and play for the glove was desirable, there were two USB ports in use: one for the Arduino and the other for Razer Hydra controller. The device was able to perform well on Windows 7 while it has compatibility issues with Windows 8 due to the fact that Windows 8 kernel is optimized for USB usage. The glove if mass produced, would cost $216.

This means that this glove can easily fill the gap between the cheap-imprecise and expensivespecialized markets and cater to a much larger section of Virtual Reality gaming enthusiasts and other emerging businesses dependent on Virtual Reality.

Proceedings of the 2015 ASEE Gulf-Southwest Annual Conference Organized by The University of Texas at San Antonio Copyright © 2015, American Society for Engineering Education

References

1. Oculus, V. R. "Inc.: Oculus Rift-Virtual Reality Headset for 3D Gaming." Oculus VR.

2. Seifert, Kurt, Camacho, Oscar (2007). Implementing Positioning Algorithms Using Accelerometers. Freescale Semiconductor, Tempe, AR.

3. Engine, Unity Game. "Unity Game Engine-Official Site."

4. CH Robotics (2012). Estimating Velocity and Position Using Accelerometers. CH Robotics, Payson, UT.

5. Riccardo Barbieri, Elisabetta Farella, Luca Benini, Bruno Ricc´o, Andrea Acquaviva (2004). A Low-Power Motion Capture System with Integrated Accelerometers. University o f Bologna, Italy.

6. Thong, Y.K., Woolfson, M.S., Crowe, J.A., Hayes-Gill, B.R., Jones, D.A., 2004. “Numerical Double Integration of Acceleration Measurements in Noise. Measurement”, Volume 36, Issue 1, 73-92

7. LaValle, Steve (2013). The Latent Power of Prediction. http://www.oculusvr.com/blog/the-latent-power-ofprediction

8. Azuma, Ronald T. (1995). Predictive Tracking for Augmented Reality. University of North Carolina, Chapel Hill, NC.

9. Saggio, Giovanni; Bocchetti, Stefano; Pinto, Carlo Alberto; Orengo, Giancarlo; Giannini, Franco (2009). A novel application method for wearable bend sensors. University of Rome, Rome, Italy.

10. Carmack, John (2013) Latency Mitigation Strategies. http://www.altdevblogaday.com/2013/02/22/latencymitigation-strategies Mequanint Moges Dr. M. Moges currently serves as an Instructional Associate Professor and the Undergraduate Program Coordinator of the Computer Engineering Technology Department at the University of Houston’s College of Technology. His research interests include Design and Optimization of Wireless Sensor Networks, Performance Evaluation and Optimization of Computer and Communication Systems, Job Scheduling in Parallel and Distributed Systems and Computational Grids.

He is the Professor who takes Senior Project Proposal and Design Laboratory. He is the Chief Mentor and Guide for the Virtual Reality Glove project.

Baird Eutsler Mr. Eutsler is an alumnus of the Computer Engineering Technology program at the University of Houston’s College of Technology. He was the leader of the team which proposed and designed the Virtual Reality Glove. He was in -charge of research related to the choice of the correct sensors to achieve the objectives of the project.

Jared Gaertner Mr. Gaertner is an alumnus of the Computer Engineering Technology program at the University of Houston’s College of Technology. He was the lead programmer for the Virtual Reality Glove project. He made sure that the system fell well within the required constraints of performance, size and power.

Evan Pollino Mr. Pollino is an alumnus of the Computer Engineering Technology program at the University of Houston’s College of Technology. He made computer models of the human hand on the Unity software. He was also in charge of researching on inverse kinematics equations related to the hand and incorporating them on the Unity software to render seamless images.

Nina Robinson Ms. Robinson is an alumna of the Computer Engineering Technology program at the University of Houston’s College of Technology. She was in charge of making the project a finished product. She made decisions related to the materials to be used on the glove. She also was in charge of documentation and presentation of the project.

Proceedings of the 2015 ASEE Gulf-Southwest Annual Conference Organized by The University of Texas at San Antonio Copyright © 2015, American Society for Engineering Education Sai Tadimeti Mr. Tadimeti is currently a graduate student at the Cullen College of Engineering, University of Houston. He is the Instructional Assistant for Professor Moges’ senior project laboratory. His interests include Hardware design, FPGA implementations and Embedded Systems. He was instrumental in making sure that the students got all the resources in time to continue their project without any impediments.

Kavya Yerrabandi Ms. Yerrabandi is currently a graduate student at the Cullen College of Engineering, University of Houston. She too is an Instructional Assistant for Professor Moges’ senior project laboratory. Her interests include VLSI design and Hardware Design. She was instrumental in bringing this paper out by working diligently with Sai.

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