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2021 | OriginalPaper | Chapter

Performance Evaluation and Efficiency of Laser Holographic Peripherals

Authors : Alexander Fedor, Mulualem Hailom, Talha Hassan, Vu Ngoc Phuong Dinh, Vuong Nguyen, Tauheed Khan Mohd

Published in: Human-Computer Interaction. Interaction Techniques and Novel Applications

Publisher: Springer International Publishing

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Abstract

The introduction of virtual and voice recognition technologies have been at the forefront of HCI development in the last decade. The tech world has embraced the user experience when it comes to design and innovation. The way we communicate with computers has evolved over the years, things are moving from the more manual way of passing information to the computer into a more virtual style. Keyboards and mouses have been the two most important tools for doing this job, and innovation has transitioned them from the standard setups into virtual and holographic setups that take up minimal space. They are a part of green computing which promotes recycling and less plastic and electronic wastes. This paper would explore the evolution of the keyboard and explain how the new technology works. The paper would analyze both the hardware and the software to observe the design and the inner workings of two selected virtual devices: A virtual keyboard and ODin holographic mouse. There are several approaches used to process the information such as 3D optical ranging, the paper would include details about the mechanism behind it. An important concern is whether these virtual machines are accurate enough when it comes to performance and durability as compared to the standard styles. This paper would discuss the experiment performed to determine the user experience and accuracy based on monitored tasks that were repeated on the standard version as well. Deep Learning, Recurrent neural networks, in particular, is another important feature of this paper with their ability to improve the devices.

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Metadata
Title
Performance Evaluation and Efficiency of Laser Holographic Peripherals
Authors
Alexander Fedor
Mulualem Hailom
Talha Hassan
Vu Ngoc Phuong Dinh
Vuong Nguyen
Tauheed Khan Mohd
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78465-2_1