| Validity and reliability of a voice-recognition game analysis system for field sports. | |
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MedLine Citation:
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PMID: 12585620 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The purpose of this study was to assess the ability of observers to use voice-recognition analysis to accurately classify gait transitions and quantify gait durations typical of team games. Inter-rater and intra-rater reliability was also determined. Four males were filmed performing pre-determined gait protocols. each comprising different sequences of walking, jogging, running and sprinting. Two operators independently classified gait transitions and the time spent in each gait was determined by the voice recognition system. All gait modes as measured by trained observers demonstrated statistically significant correlations (p < 0.01) to pre-determined measurement criteria. The mean absolute error for all gait transitions was less than half a second (0.32-0.36 s) with the maximum percentage error being approximately 4% for the walk, jog and run gaits and 10% for sprinting. Gait classification error was low at 1.9%. The intra-rater and inter-rater reliability was consistently high ranging from r = 0.87 to 0.99. In conclusion, observers using voicerecognition software provided valid measures of time spent in each of the four gait categories with 90% or better accuracy achieved. |
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Authors:
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P Schokman; P F Le Rossignol; W A Sparrow |
Publication Detail:
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Type: Journal Article; Validation Studies |
Journal Detail:
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Title: Journal of science and medicine in sport / Sports Medicine Australia Volume: 5 ISSN: 1440-2440 ISO Abbreviation: J Sci Med Sport Publication Date: 2002 Dec |
Date Detail:
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Created Date: 2003-02-14 Completed Date: 2003-05-20 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9812598 Medline TA: J Sci Med Sport Country: Australia |
Other Details:
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Languages: eng Pagination: 362-71 Citation Subset: IM |
Affiliation:
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School of Heath Sciences, Deakin University, Victoria, Australia. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Gait / physiology* Humans Male Running / physiology Speech* Sports / physiology* Statistics as Topic User-Computer Interface* Videotape Recording Walking / physiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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