{"title":"Topoplogical Structured Learning for Assessment of Unilateral Spatial Neglect","authors":"T. Obo, Noyuki Kubota","doi":"10.1109/CINTI-MACRo57952.2022.10029515","DOIUrl":null,"url":null,"abstract":"This paper presents an immersive virtual reality (VR) system for assessment of unilateral spatial neglect (USN). USN is defined by the inability for a person to perceive stimuli on one side of the body or environment that is not due to a lack of sensation. In clinical practice, paper-and-pencil tests are used as the quick assessments. However, the sensitivity of these tests is not sufficient for USN assessment in activities of daily living. Thus, VR systems and multimodal sensing systems have been applied to more sensitive diagnosis for USN. In this study, we aim to propose a method to extract specific features of USN patients in behavioral and cognitive levels.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"22 1","pages":"000137-000142"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Micro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper presents an immersive virtual reality (VR) system for assessment of unilateral spatial neglect (USN). USN is defined by the inability for a person to perceive stimuli on one side of the body or environment that is not due to a lack of sensation. In clinical practice, paper-and-pencil tests are used as the quick assessments. However, the sensitivity of these tests is not sufficient for USN assessment in activities of daily living. Thus, VR systems and multimodal sensing systems have been applied to more sensitive diagnosis for USN. In this study, we aim to propose a method to extract specific features of USN patients in behavioral and cognitive levels.
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