The use of voice recognition as a control interface for word processing.
The purpose of this case study was to compare the speed and accuracy of the subject's word processing skills using the Dragon Systems, Incorporated Dragon Dictate voice recognition system, to the speed and accuracy of the subject's current method of accessing a computer by mouthstick. The subject re...
| Publicado en: | Occupational Therapy in Health Care Vol. 11; no. 1; pp. 75 - 82 |
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| Autores principales: | , |
| Formato: | case study Journal Article |
| Publicado: |
Taylor & Francis Ltd
1997
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107235654&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107235654 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07380577 OTH jtl: Occupational Therapy in Health Care issn: 07380577 maglogo: N pubinfo: dt: 1997 vid: 11 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 107235654 78527604 1998004882 10.1300/J003v11n01_05 107235654 ppf: 75 ppct: 7 formats: tig: atl: The use of voice recognition as a control interface for word processing. aug: au: Dalton JR Peterson CQ affil: W.A. Foote Memorial Hospital, Jackson, MI sug: subj: Voice Recognition Systems Evaluation Word Processing Methods Spinal Cord Injuries Complications Case Studies Male Adult Occupational Therapy Adult: 19-44 years Male ab: The purpose of this case study was to compare the speed and accuracy of the subject's word processing skills using the Dragon Systems, Incorporated Dragon Dictate voice recognition system, to the speed and accuracy of the subject's current method of accessing a computer by mouthstick. The subject received fifteen hours of training and practice on the voice recognition technology. Following training the subject was able to type 13 words per minute using his current method of mouthstick access, resulting in 10 errors or 95.4% accuracy. Using voice recognition technology, the subject dictated 20 words per minute with 3 errors, resulting in 98.6% accuracy. The results of this objective clinical measurement indicate that voice recognition technology may be a viable means of word processing for individuals with severe upper extremity restrictions. pubtype: Academic Journal doctype: case study Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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