{"title":"Automatic classification of hand drawn geometric shapes using constructional sequence analysis","authors":"R. Guest, S. Chindaro, M. Fairhurst, J. Potter","doi":"10.1109/ICDAR.2003.1227808","DOIUrl":null,"url":null,"abstract":"A method for automatically assessing theconstructional sequence from a neuropsychologicaldrawing task using Hidden Markov Models is presented.We also present a method of extracting and identifyingthe position of individual pen strokes relating toindividual sides of a shape within a drawing to formtraining and testing sequences. Our results from twoexperiments using data from patients with visuo-spatialneglect show the HMM classifier is able to generalise onincorrectly extracted sequences and obtain a diagnosticclassification which can be used alongside other forms ofconventional assessment.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
A method for automatically assessing theconstructional sequence from a neuropsychologicaldrawing task using Hidden Markov Models is presented.We also present a method of extracting and identifyingthe position of individual pen strokes relating toindividual sides of a shape within a drawing to formtraining and testing sequences. Our results from twoexperiments using data from patients with visuo-spatialneglect show the HMM classifier is able to generalise onincorrectly extracted sequences and obtain a diagnosticclassification which can be used alongside other forms ofconventional assessment.
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