A computer system architecture providing a user-friendly man machine interface for accessing assistive technology in cloud computing

In this study, cloud based innovative methods are introduced that allow users with motor skills impairments to access the customized learning platforms. The complete methodology relies on the development of existing technology originally developed for the Gaming Industry; Microsoft Xbox Kinect Sensor. A novel learning platform is developed for teaching students with motor skills impairments and other types of disabilities to learn Quran Recitation. The platform is integrated with a modified Kinect that allows users to access the computer software without the use of a traditional keyboard and mouse. The Kinect then acts as the interface between the uses and software. The system is designed based on the two approaches; hand-free operations via head motion and voice recognition to control the selection of items in the learning platform. For voice recognition, a dataset has also been built for training and initial testing for supervised learning. Extensive tests have been performed that proved the success of the system. This novel methodology provides a research platform for those interested in enabling students with motor skill impairments and students with disabilities in general

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“…In [8], a detailed description of assistive technology products available are presented. In [9], a computer system architecture design and…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities

Latif¹,

Alzubaidi²,

Alghazo³

et al. 2019

IJRTE

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“…IFTTT is a MQTT broker necessary for its seamless interoperability strength to reach out numerous technologies of diverse platforms from A to Z [8]. Most cloud servers present circuitous mechanism to employ IFTTT using Webhooks which yields a simple URL request of minimal operation.…”

Section: Ifttt Compatibilitymentioning

confidence: 99%

Cloud based IoT Applications for Industrial and Home Automation

Selvakumar¹

2019

IJEAT

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IoT for Industrial and Home Automation is emerging with a big bang, has huge potential for every field to be used. When there is a need for efficient means to seek IoT interface, a cloud server is what strikes in every design and applications. There are numerous aspects in building a real-time IoT interface, but IoT through cloud can be a source of multiple gains in contrast to its peers such as edge computing [1]. Industrial and Home Automation involve an excellent delivery protocol for an error-free effective transmission in the internet. MQTT protocol is a better option to facilitate the requirements of IoT through its smooth implementation, Quality of Service and data delivery. In today’s world, IoT cloud providers compete to provide reasonable and precise IoT based utilities. Despite extensive engagement of these IoT clouds, we have not initiated standard regularization or few comparative analytical investigations across the research databases. An IoT application calls for diverse resources of a particular cloud and hence it calls for a survey on IoT cloud concerning Latency, interval for subsequent update, user-friendliness, IFTTT compatibility, data handling, processing data, storage limits, servers used and security. An analyses of five of the most eminent clouds (Adafruit IO, Amazon Web Service (AWS), Blynk, Thingspeak and Ubidots) based on the above-described specifications are the factors of motivation for this paper and hence matches the best cloud suited to serve specific purpose and applications.

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“…In terms of implementation, CISCOÒ proposes an IOx framework where users can develop deployment applications. 13 For small fog-based applications, a small universal fog computing platform was implemented using the Raspberry Pi. 14 In addition, the existing work has also designed some fog computing platforms for specific application scenarios, similar to smart cities, intelligent transportation, and so on.…”

Section: Design and Implementation Of Fog Computing System Architecturementioning

confidence: 99%

Research on Internet of Things security architecture based on fog computing

Mai

2019

International Journal of Distributed Sensor Networks

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The traditional data processing of the Internet of Things is concentrated in cloud computing, and its huge number of devices and massive real-time data transmission are extremely stressful on network bandwidth and cloud computing data centers. Fog computing is the infrastructure that can use processing power anywhere in the cloud. Virtual computing extends the power of cloud computing to the edge of the network, enabling any computing device to host and process software services, analyzing and storing data closer to where data are generated. The architecture of the fog computing brings enormous processing power. Since its processing power is often located near the required equipment, the distance of data transmission is reduced and the delay is reduced. This article explores how to use the fog computing layer between the cloud data center and the end node layer to store and process large amounts of local data in a timely manner, speeding decision making and enabling Internet of Things manufacturers and software developers to limit their ability to send data. They reduced cloud computing costs and built a reasonable security architecture.

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A computer system architecture providing a user-friendly man machine interface for accessing assistive technology in cloud computing

Cited by 20 publications

References 11 publications

Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities

Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities

Cloud based IoT Applications for Industrial and Home Automation

Research on Internet of Things security architecture based on fog computing

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