Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human–Machine Interface System

Autor:	Yeung Sam Hung, Andersen Man Shun Ang, S.C. Chan, Zhiguo Zhang, K.M. Tsui, J. F. Wu, J. N. F. Mak, Yong Hu, H. C. Wu
Rok vydání:	2015
Předmět:	Signal processing medicine.diagnostic_test Computer science business.industry Interface (computing) Electrooculography Support vector machine Encoding (memory) medicine Wireless Electrical and Electronic Engineering business Computer hardware Decoding methods Communication channel
Zdroj:	IEEE Transactions on Circuits and Systems II: Express Briefs. 62:179-183
ISSN:	1558-3791 1549-7747
DOI:	10.1109/tcsii.2014.2368617
Popis:	This brief introduces a new and practical human–machine interface (HMI) system based on single-channel electrooculography (EOG) signals. The proposed system uses a consumer wireless recording device to collect EOG and employs new encoding/decoding paradigms to convey users' intentions with EOG from eye movements including blinking and looking up. The simplicity and mobility of the system provides a comfortable and practical solution to HMI. Furthermore, to reduce the hardware complexity and power consumption of the signal processing modules of the EOG-based HMI system, a novel multiplierless implementation is developed, where all the algorithms involved, such as bandpass filtering, wavelet filtering, and support vector machine, can be realized using a limited number of adders and shifters only. Experimental results show that the proposed system offers a simple, practical, and yet reliable EOG-based HMI with low complexity and power consumption.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8cb5574f96ce0cc32938eaee6d55db3d https://doi.org/10.1109/tcsii.2014.2368617 Zobrazit plný text záznamu