Applications of Human Motion Tracking: Smart Lighting Control

Chun, Sung Yong; Lee, Chan-Su

doi:10.1109/cvprw.2013.65

Cited by 23 publications

(14 citation statements)

References 5 publications

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“…Compared to traditional TV, besides the possibility to personalize their user environment [4], users appreciate variety of applications that can be installed in the smart TV set, spanning from various games, media and infotainment applications to various services, including employment of smart TV sets in various home IoT solutions. Especially this field is a subject of recent research and development, for instance controlling of smart home appliances [5], [6], smart light management system [7] or the whole smart home solution [8], [9] using a smart TV set, various personal healthcare application employing smart TV, for instance [10] or personal sleep management employing a video analysis using a smart TV application [11]. As another example, smart home security system using cameras and smart TV set can be given [12].…”

Section: Introductionmentioning

confidence: 99%

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Bureš

Macík

Ahmed

et al. 2020

IEEE Trans. Consumer Electron.

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As the popularity of Smart Televisions (TVs) and interactive Smart TV applications (apps) has recently grown, the usability of these apps has become an important quality characteristic. Previous studies examined Smart TV apps from a usability perspective. However, these methods are mainly manual, and the potential of automated model-based testing methods for usability testing purposes has not yet been fully explored. In this paper, we propose an approach to test the usability of Smart TV apps based on the automated generation of a Smart TV user interaction model from an existing app by a specialized automated crawler. By means of this model, defined user tasks in the Smart TV app can be evaluated automatically in terms of their feasibility and estimated user effort, which reflects the usability of the analyzed app. This analysis can be applied in the context of regular users and users with various specific needs. The findings from this model-based automated analysis approach can be used to optimize the user interface of a Smart TV app to increase its usability, accessibility, and quality.

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Section: Introductionmentioning

confidence: 99%

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Bureš

Macík

Ahmed

et al. 2020

IEEE Trans. Consumer Electron.

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“…In recent years, the topic of urban smart lighting gained attention and several aspects of this technology were investigated separately. Some papers deal with the design of the hardware (e.g., light controller, lamp driver) [37][38][39][40][41], whereas other papers deal with the automatic, context aware, control of illumination [29,42,43]. There are papers concerning software/cloud-computing issues in smart city scenarios [44][45][46], others focusing on energy efficiency [47][48][49][50][51][52], as well as paper presenting smart lighting solutions based on specific communication technologies [53][54][55][56][57].…”

Section: Related Workmentioning

confidence: 99%

Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems

Pasolini

Toppan²,

Zabini

et al. 2019

Applied Sciences

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Street lighting characterizes many smart city initiatives around the world. In fact, significant savings can be achieved by not only replacing traditional luminaires with low-power LEDs, but also providing streetlights with smart light controllers and network connectivity, allowing the introduction of a sensible light intensity management and reduction of maintenance costs. Moreover, if designed with a far-looking view, smart lighting infrastructure could also support city-wide Internet of Things services, becoming key enablers of the smart city revolution, also in the 5G perspective. In this paper, we provide a thorough discussion on network architectures and communication technologies that could be adopted for smart public lighting applications, showing their benefits and downsides. Starting with significant activity on research, implementation and in-field testing, we also outline the steps required for the deployment of a smart public lighting infrastructure, each discussed in accordance with the network topology considered. Finally, we introduce some additional services that a smart public lighting infrastructure could support and discuss the benefits that would arise from integration with the upcoming 5G cellular network.In this framework, the momentum for smart public lighting is mounting, as several trials and large-scale implementations showed their effectiveness [5]. In particular, LED fixtures are expected to dramatically reduce urban electricity costs, now due to street lighting for a share of 40% [6]. Smart luminaires will dynamically adapt lighting to actual needs, for instance lowering the lumen output when there are low traffic volumes and good visibility conditions are detected.Important references in this regard are the "GPP Revision of the EU Green Public Procurement Criteria for Road Lighting and traffic signals" [7], authored by the Joint Research Centre (JRC) of the European Commission, and the CEN/TR 13201 lighting standards [8][9][10][11][12], which define how to properly design lighting systems. As reported in Reference [7], "due to the multiple benefits of dimming, dimming controls must be installed in all cases unless, in exceptional circumstances, it can be demonstrated that the total cost of ownership would increase by installing dimming controls. The EN 13201 standard itself [8][9][10][11][12] recognizes that the required lighting levels are dynamic in nature and an appropriate lighting level at all times can only be ensured with adequate dimming control during off-peak hours. Dimming has obvious environmental benefits via lower energy consumption and reduced light pollution. Furthermore, dimming can enhance the lifetime of LED luminaires due to a reduced risk of overheating, which is the principal cause of abrupt LED failure." In this regard, results from a global trial of LED streetlights show that, when coupled with smart controls, LED fixtures can deliver electricity savings of up to 80% over classic lighting technologies [13].Beyond energy savings, since each smart streetlight n...

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“…• When the collector receives a failure from a lamp, after checking the DB, if it is a new event, it must send to the Smart Central Management System an instruction to increase the luminosity level of the neighbour lamps. To detect the presence of pedestrians and cars, the previous work about real-time person tracking presented in [33], [34] will be applied.…”

Section: Software Solutionmentioning

confidence: 99%

Smart Outdoor Light Desktop Central Management System

Escrivá

Torres-Sospedra

Berlanga

2018

IEEE Intell. Transport. Syst. Mag.

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Light pollution and nature preservation, are new trends in which the European cities are involved as they evolve into Smart Cities. Internet of Things are changing the way that sensors and management control systems are designed and implemented. In this article, our main objective is to present an Outdoor Light Desktop Central Management architecture using current IoT (Internet of Things) and GIS technologies to improve the energy efficiency, user experience and safety feeling at the same time we are going to decrease light pollution of LED lamps. The challenge is to provide a lighting control system to suit each zone, from residential areas and public spaces to industrial parks, and each context. Furthermore, the design of the technological multi-platform able to operate with any kind of electrical device will be useful in the area of outdoor lighting.

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Applications of Human Motion Tracking: Smart Lighting Control

Cited by 23 publications

References 5 publications

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems

Smart Outdoor Light Desktop Central Management System

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