Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3157
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChakraborty, Saikat-
dc.contributor.authorMondal, Dibyayan-
dc.contributor.authorNandy, Anup-
dc.date.accessioned2019-01-03T12:25:53Z-
dc.date.available2019-01-03T12:25:53Z-
dc.date.issued2018-12-
dc.identifier.citation15th IEEE India Council International Conference (INDICON 2018), Coimbatore, India, 16-18 December 2018.en_US
dc.identifier.urihttp://hdl.handle.net/2080/3157-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractAssessment of lower extremity joint angles is a crucial task in clinical gait analysis. Microsoft Kinect (v2) has become very popular vision-based motion tracking system due to its low cost. But, in kinematic gait parameter assessment, single Kinect (v2) set-up was proved to be unworthy from the previous studies. The present study investigates three different case studies in determining the validity of multi-Kinect set-up in assessing lower extremity joint angle where Inertial Measurement Unit was used as the gold standard. A simulation framework, OpenSim was used for joint angle generation using inverse kinematics. Substantial reduction of RMSE was observed in our case studies compared to state-of-art methods.en_US
dc.subjectKinecten_US
dc.subjectJoint angleen_US
dc.subjectOpenSimen_US
dc.subjectFusionKiten_US
dc.titleA Study on Human Gait Kinematic Validation in Multi-Kinect v2 Environmenten_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_INDICON_ANandy_StudyHuman.pdfConference paper2.48 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.