Wearable support system for intelligent workshop application

Author

Ken, Chen ; Wei, Huang ; Min, Wang

Author_Institution

Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2012

fDate

19-21 Oct. 2012

Firstpage

80

Lastpage

83

Abstract

In order for modern factories to meet the future intelligent requirements, wearable supporting technology is introduced to assist the technicians. Technicians could operate interaction electronic technical manual (IETM) and get remote technical support from the wireless local network. To allow the technicians work unencumbered by the device, Head mount display (HMD) and Voice user interface (VUI) are utilized for hands free operations and meet technicians´ requirements. What´s more, for the Voice user interface operates in the strong background noise environment, double microphone speech enhancement technology based on recursive least squares (RLS) algorithm is utilized to eliminate the noise. The result proved that the wearable system could increase user´s labor efficiency and reduce the cost for factories.

Keywords

helmet mounted displays; least squares approximations; microphones; production engineering computing; recursive estimation; speech enhancement; speech-based user interfaces; user manuals; wearable computers; wireless LAN; HMD; IETM; RLS algorithm; VUI; background noise elimination; factory cost reduction; hands-free operations; head mount display; intelligent workshop application; interaction electronic technical manual; microphone speech enhancement technology; recursive least squares algorithm; remote technical support; user labor efficiency enhancement; voice user interface; wearable support system; wireless local network; Adaptive filters; Biomedical monitoring; Microphones; Noise; Noise measurement; User interfaces; Wearable computers; ARM; RLS; VUI; wearable computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Problem-Solving (ICCP), 2012 International Conference on

Conference_Location

Leshan

Print_ISBN

978-1-4673-1696-5

Electronic_ISBN

978-1-4673-1695-8

Type

conf

DOI

10.1109/ICCPS.2012.6384259

Filename

6384259