Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (1): 26-31.DOI: 10.12068/j.issn.1005-3026.2018.01.006

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Research and Implementation of Snoring Head Posture Detecting System Based on Sound Source Localization Technology

KANG Yan, NING Guo-chen   

  1. School of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2016-07-05 Revised:2016-07-05 Online:2018-01-15 Published:2018-01-31
  • Contact: KANG Yan
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Abstract: Sound source localization technology in the application of snoring detecting was studied, mainly including the aspects of acoustic characteristics of snoring as well as sound source localization technology principle and was used to detect the head posture of snoring human. The generalized cross-correlation(GCC) function algorithm was used to calculate relative time-delaying estimation of snoring signals from mulita-channel sound acquisition system and sound position was obtained based on the relative delay information. Face orientation and head location information were combined to deduce the current head posture. The head posture detecting system contained high speed signal acquisition which was compiled by using DAQ.Besides,algorithm and signal processing was compiled by Labview. In the experiment, the subject simulated snoring under the detecting of system and the accuracy of the results is up to 80%.

Key words: snoring detecting, sound source localization, head posture recognition, signal processing, microphone array

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