Haptic Middleware Based Software Architecture for Smart Learning

Chaczko, Zenon; Chan, Cheuk Yan; Carrion, Lucia; Alenazy, Wael Mohammad

doi:10.1109/apcase.2015.52

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Now, the trend is changing again to smart learning with haptic devices . They have used the hardware devices such as LEAP motion, Microsoft Kinect 360, and Thalmic Labs MYO gesture armband in haptic middleware for experimentation.…”

Section: Ti Deployment In Smart Applicationsmentioning

confidence: 99%

Tactile internet and its applications in 5G era: A comprehensive review

Gupta

Tanwar

Tyagi

et al. 2019

Int J Communication

127

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Over the last few years, communication latency has been a major hurdle for most of the applications deployed in different network domains. During this era, a number of communication protocols and standards were developed and used by the community. However, still, the problem of latency persists keeping in view of the quality of service (QoS) and quality of experience (QoE) for different applications. To mitigate the aforementioned issues, in this paper, we present an in-depth survey of state-of-the art proposals having tactile internet as a backbone for delay mitigation using 5G networks for future ultra-reliable low-latency applications such as Healthcare 4.0, Industry 4.0, virtual reality and augmented reality, and smart education. From the existing proposals, it has been observed that tactile internet can provide interactions between virtual objects to give a feel of real environment with maximum latency of 1 millisecond. Also, this paper highlights the key differences between the tactile internet and Internet of Things in context with 5G revolution. Then open issues and challenges of tactile internet for smart applications are analyzed. Finally, a comparison of existing proposals with respect to various parameters is presented, which allows the end users to select one of the proposals in comparison with its merits over the others. KEYWORDSHealthcare 4.0, Industry 4.0, IoT, latency, reliability, tactile internet, 5G INTRODUCTIONMobile communication allows users to exchange data using smart devices ubiquitously using the mobile internet (MI). MI has millions of connected smart devices irrespective of their locations. It has revolutionized the different segments of industries such as health care, logistics, education, gaming, and transportation for maintaining quality of service (QoS) and quality of experience (QoE) for different applications. Moreover, it provides a device-to-device (D2D) communication, ie, ubiquitous communication for data sharing and communication between devices. This D2D communication coined the new term, the Internet of Things (IoT), 1 which provides the low power devices or equipments to perform specific tasks in the environment where they are deployed. IoT is being used in various smart city applications such as smart lightening, smart parking, waste management, traffic congestion, and forest fire detection. In D2D communication, the mobile devices can share prime or critical information in which a delay of even millisecond can harm the persons life (for example, the information sharing during robotic telesurgery). Existing cellular systems infrastructure is not suitable for such sensitive data sharing because of low data rates and long delay (greater than 20 ms). However, for D2D communications, Int J Commun Syst. 2019;32:e3981.wileyonlinelibrary.com/journal/dac

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Section: Ti Deployment In Smart Applicationsmentioning

confidence: 99%

Tactile internet and its applications in 5G era: A comprehensive review

Gupta

Tanwar

Tyagi

et al. 2019

Int J Communication

127

View full text Add to dashboard Cite

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“…One solution for pervasive computing applications is proposed in the work by Chaczko et al [20] (2015). It was developed with the aim of supporting Kinect-like devices, that is, devices able to provide RGB, depth, and skeletal information [21].…”

Section: Related Workmentioning

confidence: 99%

Modular Middleware for Gestural Data and Devices Management

et al. 2017

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In the last few years, the use of gestural data has become a key enabler for human-computer interaction (HCI) applications. The growing diffusion of low-cost acquisition devices has thus led to the development of a class of middleware aimed at ensuring a fast and easy integration of such devices within the actual HCI applications. The purpose of this paper is to present a modular middleware for gestural data and devices management. First, we describe a brief review of the state of the art of similar middleware. Then, we discuss the proposed architecture and the motivation behind its design choices. Finally, we present a use case aimed at demonstrating the potential uses as well as the limitations of our middleware.

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“…The middleware presented in the work of Chaczko et al was developed to ease the development of pervasive computing applications and provides full support for Kinect‐like devices. The authors have shown its effectiveness in a scenario that includes a Thalmic Labs Myo, a first‐generation Microsoft Kinect, and a Leap Motion controller.…”

Section: Related Workmentioning

confidence: 99%

KIND‐DAMA: A modular middleware for Kinect‐like device data management

Milazzo

Gentile

et al. 2017

Softw Pract Exp

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SummaryIn the last decades, we have witnessed a growing interest toward touchless gestural user interfaces. Among other reasons, this is due to the large availability of different low-cost gesture acquisition hardware (the so-called "Kinect-like devices"). As a consequence, there is a growing need for solutions that allow to easily integrate such devices within actual systems. In this paper, we present KIND-DAMA, an open and modular middleware that helps in the development of interactive applications based on gestural input. We first review the existing middlewares for gestural data management. Then, we describe the proposed architecture and compare its features against the existing similar solutions we found in the literature. Finally, we present a set of studies and use cases that show the effectiveness of our proposal in some possible real-world scenarios.

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Haptic Middleware Based Software Architecture for Smart Learning

Cited by 5 publications

References 6 publications

Tactile internet and its applications in 5G era: A comprehensive review

Tactile internet and its applications in 5G era: A comprehensive review

Modular Middleware for Gestural Data and Devices Management

KIND‐DAMA: A modular middleware for Kinect‐like device data management

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