Dhoby Schon Fitz Bumacod, Jemuel Vince Delfin, N. Linsangan, Randy E. Angelia
{"title":"Image-Processing-based Digital Goniometer using OpenCV","authors":"Dhoby Schon Fitz Bumacod, Jemuel Vince Delfin, N. Linsangan, Randy E. Angelia","doi":"10.1109/HNICEM51456.2020.9400106","DOIUrl":null,"url":null,"abstract":"A goniometer measures the available range of motion of an object. In medicine, this instrument is used assessment tool for joints in the body that allows physicians to evaluate a patient's condition, which then enables therapeutic adjustments. In order to improve recording diagnosis history, and the measurement process itself, this study aimed to create a digital goniometer that allows instantaneous measurement of the elbow and knee joint angles, through pictures. The device was made possible through the use of Raspberry Pi, a microcomputer capable of supporting functional applications through integration of hardware and software components. Statistical analysis shows a 98.25% and 98.09% accuracy for the elbow and knee joints respectively, resulting from closely related values between the actual goniometer, and the device created from this study.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM51456.2020.9400106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
A goniometer measures the available range of motion of an object. In medicine, this instrument is used assessment tool for joints in the body that allows physicians to evaluate a patient's condition, which then enables therapeutic adjustments. In order to improve recording diagnosis history, and the measurement process itself, this study aimed to create a digital goniometer that allows instantaneous measurement of the elbow and knee joint angles, through pictures. The device was made possible through the use of Raspberry Pi, a microcomputer capable of supporting functional applications through integration of hardware and software components. Statistical analysis shows a 98.25% and 98.09% accuracy for the elbow and knee joints respectively, resulting from closely related values between the actual goniometer, and the device created from this study.