A virtual keyboard system based on Multi-Level Feature Matching

Du, Hongbo; Charbon, Edoardo

doi:10.1109/hsi.2008.4581429

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…[12] and [15] address performance models which are crucial towards ensuring overall performance of virtual keyboards while feature selection and matching is tackled in [10]. It is necessary to reiterate that flexibility and efficiency remain the core concepts that have motivated the wide-spread interest in virtual keyboard technology and this is evident in how the research community has attempted to expand flexibility and incorporate other more natural modes of entry including but not limited the Brain Computer Interfaces (BCIs) [11], Electroencephalography (EEG) [14] and Gaze [17].…”

Section: Introductionmentioning

confidence: 99%

A Robust Alternative Virtual Key Input Scheme for Virtual Keyboard Systems

Owusu-Agyeman¹,

Wei²,

Yeboah³

2016

JCC

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Towards virtual keyboard design and realization, the work in this paper presents a robust key input method for deployment in virtual keyboard systems. The proposed scheme harnesses the information contained within shadows towards robustifying virtual key input. This scheme allows for input efficiency to be guaranteed in situations of relatively lower illumination, a core challenge associated with virtual keyboards. Contributions of the paper are twofold. Firstly the paper presents an approach towards effectively applying shadow information towards robustifying virtual key input systems; Secondly, through morphological operations, the performance of this input method is boosted by means of effectively alleviating noise and its impacts on overall algorithm performance, while highlighting the necessary features towards an efficient performance. While previous contributions have followed a similar trend, the contribution of this paper stresses on the intensification and improvement of both shadow and fingertip feature highlighting schemes towards overall performance improvement. Experimental results presented in the paper demonstrate the efficiency and robustness of the approach. The attained results suggest that the scheme is capable of attaining high performances in terms of accuracy while being capable of addressing false touch situations.

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Section: Introductionmentioning

confidence: 99%

A Robust Alternative Virtual Key Input Scheme for Virtual Keyboard Systems

Owusu-Agyeman¹,

Wei²,

Yeboah³

2016

JCC

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“…As input to small devices is becoming an increasingly crucial factor, various attempts have been made to provide the common keyboard metaphor without the physical keyboard, to build "virtual keyboards" [1]. Although the realizations of the virtual keyboard have been extensively studied [1]- [4], a few studies are devoted to the practical implementations of virtual keyboard as a consumer product [5]- [6]. Although a unistroke keyboard based on computer vision presented in [5] is a practical implementation, it has been realized using the desktop PC environments for the handicapped rather than for the general consumers of the mobile devices.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the System-on-Chip for virtual keyboard

Byun

Eum

Jeong³

et al. 2012

2012 IEEE 16th International Symposium on Consumer Electronics

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This paper describes the implementation of the SoC (System-on-Chip) for the virtual keyboard system exploiting computer vision technique. The SoC integrates 32-bit RISC and 16-bit DSP processor core, camera interface, and a number of peripheral blocks necessary for the implementation of virtual keyboard system. This paper presents also the finger motion recognition algorithm embedded in the SoC. The SoC is tailored to the requirements of the virtual keyboard system which are low power consumption, low computation, and system interfaces. The implementation of the SoC introduces some hardware and software features to meet these requirements. The cal-DMA is the special DMA which is able to calculate simple arithmetic operation with normal DMA function and reduces the computation of the algorithm performed in the SoC. The SoC was fabricated by using 0.18 um CMOS process and it was evaluated successfully on the real-time test board.

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Vision-Based Virtual Joystick Interface

Lee

Seo

2019

Computational Science/Intelligence and Applied Informatics

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A virtual keyboard system based on Multi-Level Feature Matching

Cited by 9 publications

References 17 publications

A Robust Alternative Virtual Key Input Scheme for Virtual Keyboard Systems

A Robust Alternative Virtual Key Input Scheme for Virtual Keyboard Systems

Implementation of the System-on-Chip for virtual keyboard

Vision-Based Virtual Joystick Interface

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