Bio-inspired radar: Recognition of human echolocator tongue clicks signals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Bio-inspired radar: Recognition of human echolocator tongue clicks signals. / Abdullah, R. S. A. Raja; Saleh, N. L.; Ahmad, S. M. S.; Rashid, N. E. Abdul; Reich, G.; Cherniakov, M.; Antoniou, M.; Thaler, L.

2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings. Vol. Part F134147 Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 861-864.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Abdullah, RSAR, Saleh, NL, Ahmad, SMS, Rashid, NEA, Reich, G, Cherniakov, M, Antoniou, M & Thaler, L 2018, Bio-inspired radar: Recognition of human echolocator tongue clicks signals. in 2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings. vol. Part F134147, Institute of Electrical and Electronics Engineers (IEEE), pp. 861-864, 2017 IEEE Asia Pacific Microwave Conference, APMC 2017, Kuala Lumpur, Malaysia, 13/11/17. https://doi.org/10.1109/APMC.2017.8251585

APA

Abdullah, R. S. A. R., Saleh, N. L., Ahmad, S. M. S., Rashid, N. E. A., Reich, G., Cherniakov, M., Antoniou, M., & Thaler, L. (2018). Bio-inspired radar: Recognition of human echolocator tongue clicks signals. In 2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings (Vol. Part F134147, pp. 861-864). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/APMC.2017.8251585

Vancouver

Abdullah RSAR, Saleh NL, Ahmad SMS, Rashid NEA, Reich G, Cherniakov M et al. Bio-inspired radar: Recognition of human echolocator tongue clicks signals. In 2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings. Vol. Part F134147. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 861-864 https://doi.org/10.1109/APMC.2017.8251585

Author

Abdullah, R. S. A. Raja ; Saleh, N. L. ; Ahmad, S. M. S. ; Rashid, N. E. Abdul ; Reich, G. ; Cherniakov, M. ; Antoniou, M. ; Thaler, L. / Bio-inspired radar: Recognition of human echolocator tongue clicks signals. 2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings. Vol. Part F134147 Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 861-864

Bibtex

@inproceedings{bc1b4fbafa954ce4bf8f4dbfabd8c53a,
title = "Bio-inspired radar:: Recognition of human echolocator tongue clicks signals",
abstract = "Echolocation is a process where sound waves are transmitted and the echoes are analyzed to determine information about the surrounding environment. Principle of echolocation method inspire by bat have been widely used in Radar and Sonar application. What is less known, this technique also used by a small group of blind humans in their daily life mainly for navigation and object recognition with high accuracy. To date, only a few technical studies look at how these echolocators are able to detect their own echoes. The conventional detection using match filter like in Radar application for this signal is not suitable due to existence of multiple frequency components. Thus, this paper discusses an alternative approach to recognize human echolocator tongue click signals by using the Linde-Buzo-Gray Vector Quantization Method. The significant click features which is the multiple frequencies itself were extracted from the raw transmits and echo signal and were used for the recognition process. Although there are gaps still need to be filled, the biologically-inspired technique presented here may provide useful information particular in signal processing for radar and sonar systems in the future.",
keywords = "bio-inspired, Echolocation",
author = "Abdullah, {R. S. A. Raja} and Saleh, {N. L.} and Ahmad, {S. M. S.} and Rashid, {N. E. Abdul} and G. Reich and M. Cherniakov and M. Antoniou and L. Thaler",
year = "2018",
month = jan,
day = "11",
doi = "10.1109/APMC.2017.8251585",
language = "English",
isbn = "978-1-5386-0641-4",
volume = "Part F134147",
pages = "861--864",
booktitle = "2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = "2017 IEEE Asia Pacific Microwave Conference, APMC 2017 ; Conference date: 13-11-2017 Through 16-11-2017",

}

RIS

TY - GEN

T1 - Bio-inspired radar:

T2 - 2017 IEEE Asia Pacific Microwave Conference, APMC 2017

AU - Abdullah, R. S. A. Raja

AU - Saleh, N. L.

AU - Ahmad, S. M. S.

AU - Rashid, N. E. Abdul

AU - Reich, G.

AU - Cherniakov, M.

AU - Antoniou, M.

AU - Thaler, L.

PY - 2018/1/11

Y1 - 2018/1/11

N2 - Echolocation is a process where sound waves are transmitted and the echoes are analyzed to determine information about the surrounding environment. Principle of echolocation method inspire by bat have been widely used in Radar and Sonar application. What is less known, this technique also used by a small group of blind humans in their daily life mainly for navigation and object recognition with high accuracy. To date, only a few technical studies look at how these echolocators are able to detect their own echoes. The conventional detection using match filter like in Radar application for this signal is not suitable due to existence of multiple frequency components. Thus, this paper discusses an alternative approach to recognize human echolocator tongue click signals by using the Linde-Buzo-Gray Vector Quantization Method. The significant click features which is the multiple frequencies itself were extracted from the raw transmits and echo signal and were used for the recognition process. Although there are gaps still need to be filled, the biologically-inspired technique presented here may provide useful information particular in signal processing for radar and sonar systems in the future.

AB - Echolocation is a process where sound waves are transmitted and the echoes are analyzed to determine information about the surrounding environment. Principle of echolocation method inspire by bat have been widely used in Radar and Sonar application. What is less known, this technique also used by a small group of blind humans in their daily life mainly for navigation and object recognition with high accuracy. To date, only a few technical studies look at how these echolocators are able to detect their own echoes. The conventional detection using match filter like in Radar application for this signal is not suitable due to existence of multiple frequency components. Thus, this paper discusses an alternative approach to recognize human echolocator tongue click signals by using the Linde-Buzo-Gray Vector Quantization Method. The significant click features which is the multiple frequencies itself were extracted from the raw transmits and echo signal and were used for the recognition process. Although there are gaps still need to be filled, the biologically-inspired technique presented here may provide useful information particular in signal processing for radar and sonar systems in the future.

KW - bio-inspired

KW - Echolocation

UR - http://www.scopus.com/inward/record.url?scp=85044737445&partnerID=8YFLogxK

U2 - 10.1109/APMC.2017.8251585

DO - 10.1109/APMC.2017.8251585

M3 - Conference contribution

AN - SCOPUS:85044737445

SN - 978-1-5386-0641-4

VL - Part F134147

SP - 861

EP - 864

BT - 2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 13 November 2017 through 16 November 2017

ER -