Change search
ReferencesLink to record
Permanent link

Direct link
Bimodal voice recognition based computer input
2003 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In the last few decades, the computer keyboards input device has received much attention in the past and is believed by many to be a prime factor in the etiology of upper extremity musculoskeletal disorders. And wide rang of voice input systems are proposed to allow persons to operate a computer without using a keyboard or mouse. This thesis reviewed both of acoustic–only and bimodal voice recognition system and compared their recognition accuracy in simulated noisy environments. Then, the voice recognition technique is adopted in keyboard design to fulfil keyboard ergonomic demands. Finally, the value analysis was performed to evaluate the redesigned voice input keyboards. The experiment results demonstrate, compared to conventional acoustic only based speech recognition, bimodal speech recognition scheme has a much improved recognition accuracy and using the visual features allows the development of a more practical and real-time recognition system. Through the redesigned voice input keyboard, computer users can get their hand free completely and partly at their own will, by which they are away from the upper extremity musculoskeletal disorders risk and vocal strain.

Place, publisher, year, edition, pages
Keyword [en]
Technology, upper extremity musculoskeletal disorder, keyboard, voice, input, speech recognition
Keyword [sv]
URN: urn:nbn:se:ltu:diva-55924ISRN: LTU-EX--03/138--SELocal ID: cb9f7679-a376-4928-86a7-f2c36fa3d4adOAI: diva2:1029308
Subject / course
Student thesis, at least 15 credits
Educational program
Ergonomics, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(524 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 524 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link