دورية أكاديمية
Image-Based Stability Quantification
| العنوان: | Image-Based Stability Quantification |
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| المؤلفون: | Jesse Scott, John Challis, Robert T. Collins, Yanxi Liu |
| المصدر: | IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 564-573 (2023) |
| بيانات النشر: | IEEE, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Medical technology LCC:Therapeutics. Pharmacology |
| مصطلحات موضوعية: | Image-based, stability, base of support, center of mass, center of pressure, deep learning, Medical technology, R855-855.5, Therapeutics. Pharmacology, RM1-950 |
| الوصف: | Quantitative evaluation of human stability using foot pressure/force measurement hardware and motion capture (mocap) technology is expensive, time consuming, and restricted to the laboratory. We propose a novel image-based method to estimate three key components for stability computation: Center of Mass (CoM), Base of Support (BoS), and Center of Pressure (CoP). Furthermore, we quantitatively validate our image-based methods for computing two classic stability measures, CoMtoCoP and CoMtoBoS distances, against values generated directly from laboratory-based sensor output (ground truth) using a publicly available, multi-modality (mocap, foot pressure, two-view videos), ten-subject human motion dataset. Using Leave One Subject Out (LOSO) cross-validation, experimental results show: 1) our image-based CoM estimation method (CoMNet) consistently outperforms state-of-the-art inertial sensor-based CoM estimation techniques; 2) stability computed by our image-based method combined with insole foot pressure sensor data produces consistent, strong, and statistically significant correlation with ground truth stability measures (CoMtoCoP r = 0.79 p < 0.001, CoMtoBoS r = 0.75 p < 0.001); 3) our fully image-based estimation of stability produces consistent, positive, and statistically significant correlation on the two stability metrics (CoMtoCoP r = 0.31 p < 0.001, CoMtoBoS r = 0.22 p < 0.043). Our study provides promising quantitative evidence for the feasibility of image-based stability evaluation in natural environments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1558-0210 |
| Relation: | https://ieeexplore.ieee.org/document/9968276/; https://doaj.org/toc/1558-0210 |
| DOI: | 10.1109/TNSRE.2022.3226191 |
| URL الوصول: | https://doaj.org/article/2d08c6720ee34b3fb866a863764ac46f |
| رقم الأكسشن: | edsdoj.2d08c6720ee34b3fb866a863764ac46f |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15580210 |
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| DOI: | 10.1109/TNSRE.2022.3226191 |