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http://dx.doi.org/10.15207/JKCS.2015.6.5.233

Speed estimation of sound-emitted objects through convergence of sound information analysis and smart device technology  

Nam, Yong-Wook (Department of Computer Science, Kwangwoon University)
Kim, Yong-Hyuk (Department of Computer Science, Kwangwoon University)
Publication Information
Journal of the Korea Convergence Society / v.6, no.5, 2015 , pp. 233-240 More about this Journal
Abstract
In this paper, we present an algorithm that estimates the speed of a moving object only using its sound information. In general, the speed gun projects the incident light onto a moving object and measures the frequency variation of the scattered light. Then the speed is measured by this frequency difference. In our study, instead of light information, we measure the speed by sound frequency difference when the object is coming and moving away. In our experiments on the speed measurement, on average the error of 6.08% was obtained. Utilizing this algorithm for smart device, we can measure the speed of a moving object without sensor that measures the frequency of the light.
Keywords
Doppler effect; speed estimation; acoustic information; smart device; convergence;
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