Hu Moment Invariant: A New Method for Hearing Loss Detection
Authors
Tang Lijun, Qi Yixuan, Atiena Pereira
Corresponding Author
Tang Lijun
Available Online March 2018.
- 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/).
Cite this article
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 -