DocumentCode :
2571370
Title :
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
Link To Document :
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