Motion Capture Using the Internet of Things Technology

Holmes, K; Coates, Adam; Hammoudeh, Mohammad

doi:10.1145/3102304.3102344

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…For modeling the remote environment, the slave device should be able to capture and measure the geometry and the impedance in a real time [64]. The impedance term, used in the modeling process in any teleoperated system, always defines the physical properties of the slave side.…”

Section: Environmental Modelingmentioning

confidence: 99%

Model Mediation to Overcome Light Limitations—Toward a Secure Tactile Internet System

Ateya

Muthanna

Vybornova

et al. 2019

JSAN

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Enabling haptic communication as well as voice and data over the future 5G cellular system has become a demand. Tactile Internet is one of the main use cases of the 5G system that will allow the transfer of haptic communications in real time. Latency, availability, reliability, and security are the main design challenges of the tactile Internet system and haptic based bilateral teleoperation systems. An end-to-end latency of 1 ms remains the main challenge toward tactile Internet system realization, not only for the processing and coding delays but mainly for the limitations of light. In this work, we analyze the key solutions to overcome the light limitations and enable the tactile Internet over any distances with the required latency. Building a virtual model or model mediated for the remote environment at the edge cloud unit near to the end user is the main solution. By means of AI, the virtual model can predict the behavior of the remote environment and thus, the end user can interact with the virtual environment with a high system experience. This literature review covers the existing work of the model mediated bilateral teleoperated systems and discusses its availability for the tactile Internet system. Furthermore, the security issues of tactile Internet system and the effect of model mediated system on the required security level of tactile Internet applications are discussed. Finally, a structure for the tactile Internet system, with the deployment of model mediation, is suggested.

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Section: Environmental Modelingmentioning

confidence: 99%

Model Mediation to Overcome Light Limitations—Toward a Secure Tactile Internet System

Ateya

Muthanna

Vybornova

et al. 2019

JSAN

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“…Over the years users of MCC have witnessed the release of several applications for mobile devices. Including but not limited to: M-commerce, Multimediasharing, M-sensing, M-learning, M-healthcare, M-gaming, Location-based mo-bile services and even Augmented Reality [5,25].…”

Section: Applications Of Mobile Cloud Computingmentioning

confidence: 99%

Data security issues in the realm of mobile cloud computing: A survey

Anwar

2018

Preprint

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Mobile Cloud Computing (MCC) is a recent technological development, which has emerged from two popular technology trends; mobile computing and cloud. In essence it revolutionises the capabilities of mobile devices by integrating both storage and processing of the cloud environment with mobile computing and in doing so providing greater optimisation and operating power, allowing for transparent and seamless use of resources provided by the cloud. However, expanding the capability of resource constrained mobile devices in this manner comes at a price. There are many risks associated with the security of data within the cloud environment and as MCC essentially uses the cloud, it also inherits any security issues that are associated with cloud computing. The aim of this survey is to identify potential data security issues, and analyse and present some pioneering security mechanisms and finally suggest some future directions for better data security with MCC.

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NeuronUnityIntegration2.0. A Unity Based Application for Motion Capture and Gesture Recognition

Becattini

Ferracani

Principi

et al. 2019

Proceedings of the 27th ACM International Conference on Multimedia

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NeuronUnityIntgration2.0 1 is a plugin for Unity which provides gesture recognition functionalities through the Perception Neuron motion capture suit. The system offers a recording mode, which guides the user through the collection of a dataset of gestures, and a recognition mode, capable of detecting the recorded actions in real time. Gestures are recognized by training Support Vector Machines directly within our plugin. We demonstrate the effectiveness of our application through an experimental evaluation on a newly collected dataset. Furthermore, external applications can exploit NeuronUnityIntgration2.0's recognition capabilities thanks to a set of exposed API. CCS CONCEPTS• Human-centered computing → Gestural input; Virtual reality; Interactive systems and tools.

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Motion Capture Using the Internet of Things Technology

Cited by 3 publications

References 5 publications

Model Mediation to Overcome Light Limitations—Toward a Secure Tactile Internet System

Model Mediation to Overcome Light Limitations—Toward a Secure Tactile Internet System

Data security issues in the realm of mobile cloud computing: A survey

NeuronUnityIntegration2.0. A Unity Based Application for Motion Capture and Gesture Recognition

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