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Most published Xplore authors for Smart Tv

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Xplore Articles related to Smart Tv

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Errata

IEEE Potentials, 2019

In the January/February 2019 issue of IEEE Potentials, there was an error in the author biography for Neda Shabani. The text should read, “She earned her M.S. degree in hospitality and tourism management from the University of South Florida, Sarasota-Manatee.” We apologize for the error.


Performance Measurement Automation for Linux Embedded Devices

2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2018

In this paper, we analyze the usage scenarios of the various functions provided by the recent smart TV to derive a common usage model. From this model, we propose a method to measure and evaluate the performance from various perspectives. Using the proposed method, we were able to develop a system that automatically measures performance and provides analysis information to ...


System for remote parental control and management of rooted smart TVs

2018 International Interdisciplinary PhD Workshop (IIPhDW), 2018

The word hacking very often evokes pejorative connotations. In IT to hack is to break security measures, that were introduced by the developer or the manufacturer. However to hack can also mean to make the application or device do more, that it was originally intended, to extend its capabilities. In this article we will show that by hacking (or rooting) ...


A CAPTCHA-like implicit authentication model for smart TV based on machine learning algorithms

2018 IEEE International Conference on Consumer Electronics (ICCE), 2018

Recently, IoT (Internet of Things) environment centered Smart TV has been developed exponentially to provide a convenient and connected life experience to users. But this environment is vulnerable to a hacking attempt, as each of the devices is exposed to a hacker. To achieve ideal balance between security and convenience, this paper proposes an implicit authentication method based on users' ...


Appliances of Smart TV as an IoT Device for Industry 4.0

2019 IEEE 21st Conference on Business Informatics (CBI), 2019

In the present paper author explains the results of using Smart TV as a tool for Industry 4.0, in particular for media industry, also measuring of Quality- of-Service and new business development. A Smart TV is a single connected device or intelligent sensor which increases industry performance through the number of services by using the existing network infrastructure. Thanks to ...


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Educational Resources on Smart Tv

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IEEE-USA E-Books

  • Errata

    In the January/February 2019 issue of IEEE Potentials, there was an error in the author biography for Neda Shabani. The text should read, “She earned her M.S. degree in hospitality and tourism management from the University of South Florida, Sarasota-Manatee.” We apologize for the error.

  • Performance Measurement Automation for Linux Embedded Devices

    In this paper, we analyze the usage scenarios of the various functions provided by the recent smart TV to derive a common usage model. From this model, we propose a method to measure and evaluate the performance from various perspectives. Using the proposed method, we were able to develop a system that automatically measures performance and provides analysis information to the developers. Experimental results show that the automatic measurements have a difference of only 2.3% compared to human measurements.

  • System for remote parental control and management of rooted smart TVs

    The word hacking very often evokes pejorative connotations. In IT to hack is to break security measures, that were introduced by the developer or the manufacturer. However to hack can also mean to make the application or device do more, that it was originally intended, to extend its capabilities. In this article we will show that by hacking (or rooting) a Samsung Smart TV it is possible to build a system that will allow remote management and monitoring of such device. Parental control is often very limited in functionality, usually just a PIN lock. By achieving arbitrary code execution we were able to extend the functionality drastically. This system is independent of manufacturer and can work and be extended even on older TV sets, that do not receive updates.

  • A CAPTCHA-like implicit authentication model for smart TV based on machine learning algorithms

    Recently, IoT (Internet of Things) environment centered Smart TV has been developed exponentially to provide a convenient and connected life experience to users. But this environment is vulnerable to a hacking attempt, as each of the devices is exposed to a hacker. To achieve ideal balance between security and convenience, this paper proposes an implicit authentication method based on users' TV viewing history. This machine learning model is trained on the server with face set, and it is operated on the client TV after deployment. When compared to previous authentication methods, our model has an advantage in user convenience and it is highly impenetrable in terms of security as it updates the model regularly.

  • Appliances of Smart TV as an IoT Device for Industry 4.0

    In the present paper author explains the results of using Smart TV as a tool for Industry 4.0, in particular for media industry, also measuring of Quality- of-Service and new business development. A Smart TV is a single connected device or intelligent sensor which increases industry performance through the number of services by using the existing network infrastructure. Thanks to special tracking and analyzing information on board Smart TVs help to improve the service for VoD service provider and product quality for Vendor. Results of applying several methods for problem solving will be reviewed at present material.

  • Study on the interactive interface design of gaze input smart TV

    In recent years, using eye movements as an input method to control smart TVs remotely has been gaining attention. In the past, eye control was mostly applied to assistive devices for specific ethnic groups due to the high cost. However, it is gradually being applied to computer games as well. This study summarizes the principles of interface design by analyzing the existing eye- controlled interfaces and attempts to apply it to the operation and interface design of smart TVs. Finally, based on heuristic evaluation by experts, the study explored the feasibility of applying eye control to smart TV operation and proposed a design of the eye control interface suitable for smart TVs.

  • Balancing Incident and Ambient Light for Illumination Compensation in Video Applications

    Hand-gesture interaction with a smart TV using a conventional camera under restricted ambient illumination is complicated by the varying incident illumination coming from the screen. In this paper, we propose a method for compensating for the poor ambient illumination in the scene captured by a smart TV camera by balancing it against this kind of incident illumination. The proposed framework models the variations in the ambient illumination as a factor of the varying incident illumination caused by the changing multimedia content displayed on the smart TV. Further, by estimating the average incident illumination and measuring its deviation during the scene transition, an illumination intensity correction factor is deduced, and thus ambient illumination is corrected iteratively. To validate the effectiveness of the proposed method, we benchmark it against multiple video sequences depicting the human gesture interaction with a smart device under both low-lighting (typically in the night) and natural-lighting conditions. Furthermore, experiments on such challenging video sequences have demonstrated improved accuracy and robustness of visual target trackers by preprocessing the sequence using our method.

  • Design and Development of Smart TV Protector

    Televisions have become "smart" with the addition of computers into their designs. Smart TVs represent a recent risk to the digital cybersecurity ecosystem. Higher-end smart TV models generally sell for more than $1000. Some smart TV's sell for more than $10000. Research has shown that these relatively expensive devices have little to no effective protection against malware leaving them at risk of total loss. This situation creates the need for an apparatus that could conceivably provide a reasonable level of protection from malware at a marginal cost relative to the cost of a high-end Smart TV. This paper presents several concepts for such an apparatus and postulates a recommended approach to secure users against malware attacks on Smart TVs.

  • Application of Different Kinds of Interfaces in Modern Devices for Taking Care of People

    Taking care of those who need help is the cornerstone of our society. Thanks to the constant advances we have access to a better and cheaper technology that can make our daily lives easier, so why not apply the same concepts to help us in taking care of our loved ones. In this article we present concepts of systems, built using commercially available devices, for simplifying and automating the monitoring of children behaviour, as well as health of the elderly and chronically ill people. By using off-the-shelf commodity devices (such as Smart TVs, fitness trackers and accessories for game consoles) we can reduce the cost of such systems and make them more affordable.

  • Smart Television Services Using NFV/SDN Network Management

    Integrating joint network function virtualization (NFV) and software-defined networks (SDNs) with digital televisions (TVs) into home environments, has the potential to provide smart TV services to users, and improve their quality of experience (QoE). In this regard, this paper focuses on one of the next generation services so-called follow me service (FMS). FMS is a service offered by 5gNB to user equipments (UEs) in indoor environments (e.g., home), it enables its clients to use their smart phones to select media content from content servers, then cast it on the nearest TV set (e.g., living room) and continue watching on the next TV set (e.g., kitchen) while moving around the indoor coverage area. FMS can be provisioned by utilizing UEs geolocation information and robust mechanisms for switching between multiple 5G radio access technologies (RATs), based on the intelligence of the SDN/NFV intelligent home IP gateway of the Internet of Radio Light (IoRL) project paradigm. In view that the actual IoRL system is at its early development stage, we step forward by using Mininet platform to integrate SDN/NFV virtualization into 5G multi-RAT scenario and provide performance monitoring with measurements for the identified service. Simulation results show the effectiveness of our proposal under various use case scenarios by means of minimizing the packet loss rate and improving QoE of the home users.



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