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http://hdl.handle.net/2080/3157Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chakraborty, Saikat | - |
| dc.contributor.author | Mondal, Dibyayan | - |
| dc.contributor.author | Nandy, Anup | - |
| dc.date.accessioned | 2019-01-03T12:25:53Z | - |
| dc.date.available | 2019-01-03T12:25:53Z | - |
| dc.date.issued | 2018-12 | - |
| dc.identifier.citation | 15th IEEE India Council International Conference (INDICON 2018), Coimbatore, India, 16-18 December 2018. | en_US |
| dc.identifier.uri | http://hdl.handle.net/2080/3157 | - |
| dc.description | Copyright of this document belongs to proceedings publisher. | en_US |
| dc.description.abstract | Assessment 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.subject | Kinect | en_US |
| dc.subject | Joint angle | en_US |
| dc.subject | OpenSim | en_US |
| dc.subject | FusionKit | en_US |
| dc.title | A Study on Human Gait Kinematic Validation in Multi-Kinect v2 Environment | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Conference Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_INDICON_ANandy_StudyHuman.pdf | Conference paper | 2.48 MB | Adobe PDF | View/Open |
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