Trained neurons-based motion detection in optical camera communications

Teli, Shivani Rajendra; Cahyadi, Willy Anugrah; Chung, Yeon Ho

doi:10.1117/1.oe.57.4.040501

Cited by 7 publications

(16 citation statements)

References 11 publications

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“…Viable applications of OCC in Optical IoT based networks represent smart homes using a light emitting diode (LED), mobile atto-cells, vehicle-to-everything (V2X), smart surveillance systems, etc. OCC offers interesting functionalities of vision, data communications, localization and motion detection [6][7][8]. The concept of motion detection has been studied as an addon functionality both in OCC and VLCs along with the provision of illumination and short-range wireless communications [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…OCC offers interesting functionalities of vision, data communications, localization and motion detection [6][7][8]. The concept of motion detection has been studied as an addon functionality both in OCC and VLCs along with the provision of illumination and short-range wireless communications [6,7]. The latter is termed as motion over a camera [6], which can also be used for controlling signal transmission in IoT networks.…”

Section: Introductionmentioning

confidence: 99%

“…The latter is termed as motion over a camera [6], which can also be used for controlling signal transmission in IoT networks. In conjunction with smart home applications, the motion detection based on existing VLC and OCC links can be useful to control smart devices [6][7][8][9][10]. The motion detection over existing VLC or OCC links seems more natural, convenient, and cost-effective, compared with other user interface methods.…”

Section: Introductionmentioning

confidence: 99%

“…In this scheme, an artificial neuron within the hidden layers represents the main constituent, which receives multiple input samples in order to train the NN. In addition, NN in the form of trained neurons plays an important role in motion detection (MD) in indoor OCC links [7]. Along with image processing, an artificial neural network (ANN) equalizer when used in VLC, can achieve higher data rates by reducing the effect of multipath induced intersymbol interference (ISI) [13].…”

Section: Introductionmentioning

confidence: 99%

“…In [7], we outlined the comparison of MD performance based on images and centroid data samples (both were considered as the input to NN representing the motion). In this paper, we focus on the analysis of neuron based MD in OCC by considering the training parameters for the processing time, the iterations carried out by NN for MD, accuracy of MD and the OCC communications link quality in terms of the bit error rate (BER) performance with respect to the transmission range.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Teli

Zvánovec

Ghassemlooy

2019

2019 26th International Conference on Telecommunications (ICT)

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This paper experimentally investigates the performance of visible light based optical camera communications (OCC) link with motion detection (MD) for the optical Internet of things applications. This efficient MD can be considered another functionality of OCC in addition to traditional features of vision, illumination data communications and sensing. The experiments were conducted in an indoor static downlink OCC system employing a mobile phone front camera is employed as the receiver and an 8 × 8 red, green, and blue (RGB) light-emitting diode array as the transmitter. The motion is detected by observing the user's finger movement in the form of centroid through the OCC link via a camera. The experiment results demonstrate that, the proposed scheme can detect all considered motions accurately with acceptable bit error rate (BER) performances at a transmission distance of up to 80 cm. We show a BER of 1.7 × 10-3 below the forward error correction limit of 3.8 × 10-3 over a transmission distance of up to 1 m. The proposed neuron based MD combined together with OCC can be considered an efficient system, which provides illumination, communications, and motion detection in a convenient smart home environment. Keywords-Optical camera communications (OCC), Internet of things (IoT), light emitting diodes (LEDs), Neural networks (NN).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Teli

Zvánovec

Ghassemlooy

2019

2019 26th International Conference on Telecommunications (ICT)

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6G Wireless Technologies

D’Andrea,

Jornet,

Singh

et al. 2024

The Road Towards 6G: Opportunities, Challenges, and Applications

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Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

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Recently, a camera or an image sensor receiver based optical wireless communications (OWC) techniques have attracted particular interest in areas such as the internet of things, indoor localization, motion capture, and intelligent transportation systems. As a supplementary technique of high-speed OWC based on photo-detectors, communications hinging on image sensors as receivers do not need much modification to the current infrastructure, such that the implementation complexity and cost are quite low. Therefore, in this paper, we present a comprehensive survey of optical camera communication (OCC) techniques, and their use in localization, navigation, and motion capture. This survey is distinguishable from the existing reviews on this topic by covering multiple aspects of OCC and its various applications. The first part of the paper focuses on the standardization, channel characterization, modulation, coding, synchronization, and signal processing techniques for OCC systems while the second part of the article presents the literature on OCC based localization, navigation, motion capture, and intelligent transportation systems. Finally, in the last part of the paper, we present the challenges and future research directions of OCC.(OCC) [5]. FSO communication systems consist of a laser diode (LD) transmitter and a photodiode (PD) receiver. It typically relies on UV or visible bands, offers high rate transmission in a long distance, and can be used for a backhaul of communication networks. However, FSO communications need a strict alignment, and consequently, their cost at transceivers is high. Also, FSO communication systems suffer from atmospheric turbulence which can be mitigated by using different statistical channel models [6,7,8,9,10], robust modulation techniques [11,12], and accurate pointing and tracking methods [13,14,15]. On the other hand, VLC hinging on visible bands is an LD or light emitting diode (LED) transmitter and PD receiver-based medium-range communication technology. VLC is capable of offering high data rate within a range of tens of meters but does not consider multiple user access. The advancement of VLC systems has also led to enable various location aware indoor applications. Recently, several indoor localization systems based on VLC are proposed [16,17,18,19,20]. Interested readers are referred to [21,22], and the references therein for VLC based indoor localization and tracking methods. Nevertheless, the VLC technology suffers from both limited coverage and interference. Increasing the field of view of the LEDs improves the coverage; however, it increases the interference at the receiver. Signal-to-interference ratio based methods can be used to analyze the coverage and interference problems in VLC systems [23]. Different from VLC, Li-Fi is an LED transmitter based light networking technology that involves multiple user access, bidirectional communications, multi-cell handover, etc. The emerging Li-Fi supports mobile communica-

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Trained neurons-based motion detection in optical camera communications

Cited by 7 publications

References 11 publications

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

Experimental Investigation of Neuron Based Motion Detection in Internet of Things using Optical Camera Communications

6G Wireless Technologies

Optical camera communications: Survey, use cases, challenges, and future trends

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