Hu Moment Invariant: A New Method for Hearing Loss Detection

DOI

10.2991/aetr-17.2018.79How to use a DOI?

Keywords

Hu moment invariant; Support vector machine; Hearing loss; Detection; Identification

Abstract

This paper proposed a novel hearing loss detection method. Our method first used seven Hu moment invariants to extract features. Afterwards, we used support vector machine to act as the classifier. The 10x5-fold cross validation shows our method yielded an overall accuracy of 77.47± 1.17%. The sensitivities of healthy control, left-sided hearing loss, and right-sided hearing loss are 77.60± 5.72%, 77.60± 4.30%, and 77.20± 5.98%, respectively. In all, our method is effective in hearing loss identification.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tang Lijun
AU  - Qi Yixuan
AU  - Atiena Pereira
PY  - 2018/03
DA  - 2018/03
TI  - Hu Moment Invariant: A New Method for Hearing Loss Detection
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 412
EP  - 416
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.79
DO  - 10.2991/aetr-17.2018.79
ID  - Lijun2018/03
ER  -