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- Title
Development and Validation of 2D-LiDAR-Based Gait Analysis Instrument and Algorithm.
- Authors
Yoon, Seongjun; Jung, Hee-Won; Jung, Heeyoune; Kim, Keewon; Hong, Suk-Koo; Roh, Hyunchul; Oh, Byung-Mo
- Abstract
Acquiring gait parameters from usual walking is important to predict clinical outcomes including life expectancy, risk of fall, and neurocognitive performance in older people. We developed a novel gait analysis tool that is small, less-intrusive and is based on two-dimensional light detection and ranging (2D-LiDAR) technology. Using an object-tracking algorithm, we conducted a validation study of the spatiotemporal tracking of ankle locations of young, healthy participants (n = 4) by comparing our tool and a stereo camera with the motion capture system as a gold standard modality. We also assessed parameters including step length, step width, cadence, and gait speed. The 2D-LiDAR system showed a much better accuracy than that of a stereo camera system, where mean absolute errors were 46.2 ± 17.8 mm and 116.3 ± 69.6 mm, respectively. Gait parameters from the 2D-LiDAR system were in good agreement with those from the motion capture system (r = 0.955 for step length, r = 0.911 for cadence). Simultaneous tracking of multiple targets by the 2D-LiDAR system was also demonstrated. The novel system might be useful in space and resource constrained clinical practice for older adults.
- Subjects
OPTICAL radar; LIDAR; MULTIPLE target tracking; STEREOSCOPIC cameras; MOTION capture (Human mechanics); TRACKING algorithms
- Publication
Sensors (14248220), 2021, Vol 21, Issue 2, p414
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s21020414