An automated method to extract three-dimensional position data using an infrared time-of-flight camera
Traditional motion capture systems can be prohibitive in healthcare settings from time, cost, space and user-expertise perspectives. Ideally, movement analysis technologies for healthcare should be low-cost, quick, simple and usable in small spaces. This study demonstrates a simple, low-cost and close-range time-of-flight depth-camera system, for automatic gait analysis. A method to automatically track three-dimensional position and orientation of retro-reflective marker-triads in real-time was developed. A marker-triad was applied to a participant (self-selected walking pace): thigh angle (wrt. global-vertical) was calculated. Trials were concurrently recorded using a motion capture system. Root-mean-square error was 2.5°, 1.3° and 2.2° for depth-camera distances of 0.8 m, 1.1 m and 1.4 m respectively. Results indicate that walking distances of 1.1 m are optimal for the current system. Further development and investigation into potential healthcare applications (e.g., low-cost, close-range gait analysis) is warranted.
© Copyright 2018 Proceedings. MDPI. All rights reserved.
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| Notations: | technical and natural sciences |
| Tagging: | Kamera Ganganalyse |
| Published in: | Proceedings |
| Language: | English |
| Published: |
2018
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| Online Access: | https://doi.org/10.3390/proceedings2060502 |
| Volume: | 2 |
| Issue: | 6 |
| Pages: | 502 |
| Document types: | article |
| Level: | advanced |