Validation of enhanced kinect sensor based motion capturing for gait assessment.
Optical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5391956?pdf=render |
| _version_ | 1818151548168962048 |
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| author | Björn Müller Winfried Ilg Martin A Giese Nicolas Ludolph |
| author_facet | Björn Müller Winfried Ilg Martin A Giese Nicolas Ludolph |
| author_sort | Björn Müller |
| collection | DOAJ |
| description | Optical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft Kinect v2 sensor is comparatively cheap and with respect to gait analysis promising results have been published. We here present a motion capturing system that is easy to set up, flexible with respect to the sensor locations and delivers high accuracy in gait parameters comparable to a gold standard motion capturing system (VICON). Further, we demonstrate that sensor setups which track the person only from one-side are less accurate and should be replaced by two-sided setups. With respect to commonly analyzed gait parameters, especially step width, our system shows higher agreement with the VICON system than previous reports. |
| first_indexed | 2024-12-11T13:40:34Z |
| format | Article |
| id | doaj.art-cfa6793ee00d437ebe051bf44f45d51d |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-11T13:40:34Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-cfa6793ee00d437ebe051bf44f45d51d2022-12-22T01:04:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01124e017581310.1371/journal.pone.0175813Validation of enhanced kinect sensor based motion capturing for gait assessment.Björn MüllerWinfried IlgMartin A GieseNicolas LudolphOptical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft Kinect v2 sensor is comparatively cheap and with respect to gait analysis promising results have been published. We here present a motion capturing system that is easy to set up, flexible with respect to the sensor locations and delivers high accuracy in gait parameters comparable to a gold standard motion capturing system (VICON). Further, we demonstrate that sensor setups which track the person only from one-side are less accurate and should be replaced by two-sided setups. With respect to commonly analyzed gait parameters, especially step width, our system shows higher agreement with the VICON system than previous reports.http://europepmc.org/articles/PMC5391956?pdf=render |
| spellingShingle | Björn Müller Winfried Ilg Martin A Giese Nicolas Ludolph Validation of enhanced kinect sensor based motion capturing for gait assessment. PLoS ONE |
| title | Validation of enhanced kinect sensor based motion capturing for gait assessment. |
| title_full | Validation of enhanced kinect sensor based motion capturing for gait assessment. |
| title_fullStr | Validation of enhanced kinect sensor based motion capturing for gait assessment. |
| title_full_unstemmed | Validation of enhanced kinect sensor based motion capturing for gait assessment. |
| title_short | Validation of enhanced kinect sensor based motion capturing for gait assessment. |
| title_sort | validation of enhanced kinect sensor based motion capturing for gait assessment |
| url | http://europepmc.org/articles/PMC5391956?pdf=render |
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