Near wireless-control technology between smart devices using inaudible high-frequencies

Chung, Myoung Beom; Choo, Hyunseung

doi:10.1007/s11042-014-1901-x

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…To evaluate the performance of the proposed method, we conducted Chung's experiment. Chung and Choo did conduct an experiment where one smart device could control another smart device using a high frequency as the trigger signal [29]. The experiment environment had four conditions: Mobile Information Systems 9 "quiet indoors," "noisy indoors," "quiet outdoors," and "noisy outdoors."…”

Section: Experiments On and Analysis Of The Data-sharing Methods Amongmentioning

confidence: 99%

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Data-Sharing Method for Multi-Smart Devices at Close Range

Chung

2015

Mobile Information Systems

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We proposed a useful data-sharing method among multi-smart devices at close range using inaudible frequencies and Wi-Fi. The existing near data-sharing methods mostly use Bluetooth technology, but these methods have the problem of being unable to be operated using different operating systems. To correct this flaw, the proposed method that uses inaudible frequencies through the inner speaker and microphone of smart device can solve the problems of the existing methods. Using the proposed method, the sending device generates trigger signals composed of inaudible sound. Moreover, smart devices that receive the signals obtain the shared data from the sending device through Wi-Fi. To evaluate the efficacy of the proposed method, we developed a near data-sharing application based on the trigger signals and conducted a performance evaluation experiment. The success rate of the proposed method was 98.8%. Furthermore, we tested the user usability of the Bump application and the proposed method and found that the proposed method is more useful than Bump. Therefore, the proposed method is an effective approach for sharing data practically among multi-smart devices at close range.

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Section: Experiments On and Analysis Of The Data-sharing Methods Amongmentioning

confidence: 99%

“…Next, the trigger signal used in the proposed method is applied to the control signal proposed by Chung and Choo [29]. Chung and Choo used two base signals and one lowlatency key as the trigger signal.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

Data-Sharing Method for Multi-Smart Devices at Close Range

Chung

2015

Mobile Information Systems

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“…We use a widely available simple speaker for the speaker of the server system and two high frequencies between 18 kHz and 22 kHz. ese high frequencies are regularly used in high-frequency studies, such as smart information service applications and data transmission using high frequencies; these frequencies have an important feature, which is that people cannot hear them in an indoor space [16,17].…”

Section: Introductionmentioning

confidence: 99%

Density Estimation System of Space Users Using High Frequencies of Speaker

Chung

2020

Mobile Information Systems

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In this paper, we propose a density estimation system of user density at the closed space using high frequencies of speaker and microphone of smart device. High frequencies are sent to the closed space by the server speaker of the density estimation system, and smart devices located at the space detect the high frequencies via the microphone of each device. The smart devices detecting the high frequencies send data to the server system, and the system calculates data from the smart devices. To evaluate performance of the proposed system, we did some experiments with the density estimation system and 20 smart devices. According to the test results, the proposed system showed 96.5% accuracy, and we confirm that the system is very useful for density estimation. Therefore, this system can precisely estimate user density at the closed space, and it could be useful technology for the density estimation of space users and measurement of space using state at indoor space.

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Detection of a Robust High-Frequency Range via Noise Analysis in a Real-World Environment

Chung

2016

Advances in Computer Science and Ubiquitous Computing

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Near wireless-control technology between smart devices using inaudible high-frequencies

Cited by 9 publications

References 16 publications

Data-Sharing Method for Multi-Smart Devices at Close Range

Data-Sharing Method for Multi-Smart Devices at Close Range

Density Estimation System of Space Users Using High Frequencies of Speaker

Detection of a Robust High-Frequency Range via Noise Analysis in a Real-World Environment

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