• Title/Summary/Keyword: Self-generating sounds

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A Design for Uplink Indoor Acoustic Positioning System based on Time-Difference-of-Arrival of Self-Generating Sounds (자체발성음의 도달지연시간차 기반 상향 실내음향측위시스템 설계)

  • Yoo, Seung-Soo;Kim, Yeong-Moon;Lee, Ki-Seung;Yoon, Kyoung-Ro;Lee, Seok-Pil;Kim, Sun-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1C
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    • pp.130-137
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    • 2010
  • An uplink indoor positioning system is proposed in the present work, where the acoustic signals are solely used for positioning. The underlying acoustic signals include whistle, finger snap, and hands-clapping. In the proposed method, positioning is achieved by finding the time-difference-of-arrivals using several self-generating sounds. To evaluate the feasibility of the signals and their positioning accuracies, the database of 100 persons about self-generating acoustic signals is built up. The results show that the hands-clapping sound is the most suitable for acoustic-based indoor positioning.

A Space Skew and Crosstalk Cancellation Scheme Based on Indoor Spacial Information Using Self-Generating Sounds (자체발성음을 이용한 실내공간정보 획득 및 공간뒤틀림/상호간섭 제거기법)

  • Kim, Yeong-Moon;Yoo, Seung-Soo;Lee, Ki-Seung;Kim, Sun-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.2C
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    • pp.246-253
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    • 2010
  • In this paper, a method of removing the space skew and cross-talk cancellation is proposed where the self-generated signals from the subject are used to obtain the subject's location. In the proposed method, the good spatial sound image is maintained even when the listener moves from the sweet spot. Two major parts of the proposed method are as follows: listener position tracking using the stimuli from the subject and removal of the space skew and cross-talk signals. Listener position tracking is achieved by estimation of the time difference of arrival (TDoA). The position of the listener is then computed using the Talyer-series estimation method. The head-related transfer functions (HRTF) are used to remove the space skew and cross-talk signals, where the direction of the HRTF is given by the one estimated from the listener position tracking. The performance evaluation is carried out on the signals from the 100 subjects that are composed of the 50 female and 50 male subjects. The positioning accuracy is achieved by 70%~90%, under the condition that the mean squared positioning error is less than $0.07m^2$. The subjective listening test is also conducted where the 27 out of the 30 subjects are participated. According to the results, 70% of the subjects indicates that the overall quality of the reproduced sound from the proposed method are improved, regardless of the subject's position.