In conclusion, for estimating GRF components with both strategies for both feet, we recommend using the VS normalization method with PCA-ANN (error values ranging from 1 to 1.2 times greater than the optimal results) and PCA-LS (error values ranging from 1 to 1.4 times greater than the optimal results).
Feb 9, 2024 · In the context of our work, our results suggest that the same normalization method can produce the worst or the best accuracy results, depending ...
Feb 9, 2024 · In the context of our work, our results suggest that the same normalization method can produce the worst or the best accuracy results, depending ...
PCA reduces dimensionality and requires pre-normalization. In this paper, we evaluated the impact of twelve pre-normalization methods using three PCA-ML methods ...
Moticon sensor insole data for evaluating different normalization methods in a PCA-ML method for estimating ground reaction force components.
Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles.
主成分分析与机器学习(PCA-ML) 方法相结合被广泛用于此任务。 PCA 降低维度并需要预归一化。在本文中，我们使用三种PCA-ML 方法评估了12 种预归一化方法对GRF 分量估计准确 ...
PCA reduces dimensionality and requires pre-normalization. In this paper, we evaluated the impact of twelve pre-normalization methods using three PCA-ML methods ...
Impact of PCA Pre-Normalization Methods on Ground Reaction Force Estimation Accuracy. Sensors 2024, 24, 1137. https://doi.org/10.3390/s24041137. AMA Style.
Oct 4, 2024 · Impact of PCA Pre-Normalization Methods on Ground Reaction Force Estimation Accuracy. ... Comparison of the Accuracy of Ground Reaction ...