Visible Light Identification System for Smart Door Lock Application with Small Area Outdoor Interface

Song, Seok-Jeong; Nam, Hyoungsik

doi:10.3807/copp.2017.1.2.090

Cited by 9 publications

(5 citation statements)

References 10 publications

(10 reference statements)

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“…In the same year, another innovation was made related to smart door lock [17]. In this research, visible light is used as an additional authentication for the user to enter the house.…”

Section: Methodsmentioning

confidence: 99%

Context-Aware Smart Door Lock with Activity Recognition Using Hierarchical Hidden Markov Model

Putrada

Ramadhan

Abdurohman

2020

KINETIK

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Context-Aware Security demands a security system such as a Smart Door Lock to be flexible in determining security levels. The context can be in various forms; a person’s activity in the house is one of them and is proposed in this research. Several learning methods, such as Naïve Bayes, have been used previously to provide context-aware security systems, using related attributes. However conventional learning methods cannot be implemented directly to a Context-Aware system if the attribute of the learning process is low level. In the proposed system, attributes are in forms of movement data obtained from a PIR Sensor Network. Movement data is considered low level because it is not related directly to the desired context, which is activity. To solve the problem, the research proposes a hierarchical learning method, namely Hierarchical Hidden Markov Model (HHMM). HHMM will first transform the movement data into activity data through the first hierarchy, hence obtaining high level attributes through Activity Recognition. The second hierarchy will determine the security level through the activity pattern. To prove the success rate of the proposed method a comparison is made between HHMM, Naïve Bayes, and HMM. Through experiments created in a limited area with real sensed activity, the results show that HHMM provides a higher F1-Measure than Naïve Bayes and HMM in determining the desired context in the proposed system. Besides that, the accuracies obtained respectively are 88% compared to 75% and 82%.

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“…In the same year, another innovation was made related to smart door lock [17]. In this research, visible light is used as an additional authentication for the user to enter the house.…”

Section: Methodsmentioning

confidence: 99%

Context-Aware Smart Door Lock with Activity Recognition Using Hierarchical Hidden Markov Model

Putrada

Ramadhan

Abdurohman

2020

KINETIK

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“…VLC-Based Smart Homes and Buildings: In the past few years, a variety of solutions have been proposed in the literature for controlling smart home appliances using VLC. It includes smart temperature and HVAC monitoring [78]- [80], smart lighting [81], smart door lock [82], and different other services. The work in [83] proposed a VLC and augmented reality-based monitoring application for smart home devices in airbnb rentals.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik

Romdhane²,

Kaddoum³

2023

IEEE Commun. Surv. Tutorials

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical, biological, and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of un-derGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the everincreasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoWT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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“…VLC-Based Smart Homes and Buildings: In the past few years, a variety of solutions have been proposed in the literature for controlling smart home appliances using VLC. It includes smart temperature and HVAC monitoring [64]- [66], smart lighting [67], smart door lock [68], and different other services. The work in [69] proposed a VLC and augmented reality-based monitoring application for smart home devices in airbnb rentals.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik¹,

Romdhane²,

Kaddoum³

et al. 2022

Preprint

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of underGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the ever-increasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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Visible Light Identification System for Smart Door Lock Application with Small Area Outdoor Interface

Cited by 9 publications

References 10 publications

Context-Aware Smart Door Lock with Activity Recognition Using Hierarchical Hidden Markov Model

Context-Aware Smart Door Lock with Activity Recognition Using Hierarchical Hidden Markov Model

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

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