Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods

Hui Liu, Wengming Zheng, Gaopeng Sun, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Jun Feng Gao, Haixian Wang, Keiji Iramina, Sheng Ge

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

3 Citations (Scopus)

Abstract

When people observe the actions of others, they naturally try to understand the underlying intentions. This behavior is called action understanding, and it has an important influence on mental development, language comprehension, and socialization. In this study, we used functional near-infrared spectroscopy (fNIRS) to obtain brain signals related to action understanding and then classified different intentions. Aiming to overcome the drawbacks of traditional multiclass classification methods of one-versus-rest (OVR) and one-versus-one (OVO), in this paper, we propose a new effective method to solve multiclass classification that is a combination of OVR and OVO. Compared with OVO, this new method effectively improved the accuracy of four-class classification from 25% to 48%.

Original languageEnglish
Title of host publicationProceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
EditorsSong Qiu, Hongying Liu, Li Sun, Lipo Wang, Qingli Li, Mei Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538619377
DOIs
Publication statusPublished - Feb 22 2018
Event10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, China
Duration: Oct 14 2017Oct 16 2017

Publication series

NameProceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
Volume2018-January

Other

Other10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
CountryChina
CityShanghai
Period10/14/1710/16/17

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods'. Together they form a unique fingerprint.

  • Cite this

    Liu, H., Zheng, W., Sun, G., Shi, Y., Leng, Y., Lin, P., Wang, R., Yang, Y., Gao, J. F., Wang, H., Iramina, K., & Ge, S. (2018). Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods. In S. Qiu, H. Liu, L. Sun, L. Wang, Q. Li, & M. Zhou (Eds.), Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 (pp. 1-5). (Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP-BMEI.2017.8302159