Low-Power Things-Server Interaction Technique using Individualized Acoustic Touch Event Recognition 


Vol. 42,  No. 9, pp. 1832-1842, Sep.  2017
10.7840/kics.2017.42.9.1832


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  Abstract

This paper proposed a signal processing-communication interoperation system that enables interaction between things and server using acoustic distortion touch recognition. The sensor processor extracts touch events from things as recognizing the effect of the acoustic signal distortion and transmits touch events to the server to recognize the individualized behavior pattern of the interaction between a person and the thing. In this paper, we implemented a thread socket based wireless communication for sharing events. Also, to reduce frequent power consumption due to event transmission through server to thing, we distributed signal processing to each sensor signal processing processor based on event sharing between adjacent things. And we presented the power consumption measurement results that required by the things-server interaction signal processing system using the proposed acoustic touch recognition circuit.

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  Cite this article

[IEEE Style]

S. Kim, K. Choi, J. Cho, D. Park, "Low-Power Things-Server Interaction Technique using Individualized Acoustic Touch Event Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 9, pp. 1832-1842, 2017. DOI: 10.7840/kics.2017.42.9.1832.

[ACM Style]

Seongseop Kim, Kiho Choi, Jeonghun Cho, and Daejin Park. 2017. Low-Power Things-Server Interaction Technique using Individualized Acoustic Touch Event Recognition. The Journal of Korean Institute of Communications and Information Sciences, 42, 9, (2017), 1832-1842. DOI: 10.7840/kics.2017.42.9.1832.

[KICS Style]

Seongseop Kim, Kiho Choi, Jeonghun Cho, Daejin Park, "Low-Power Things-Server Interaction Technique using Individualized Acoustic Touch Event Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 9, pp. 1832-1842, 9. 2017. (https://doi.org/10.7840/kics.2017.42.9.1832)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880