However, these methods did not consider the interdependence of human joints. To exploit the dependence among joints, we adopted a kinematic regression decoder that assigns each joint a spatial attention layer and linear regressor. The regression generates the pose parameters for that joint. To ...
These include a Classification and Regression Tree (CART), a Support Vector Regressor (SVR), and Gaussian Processes. A DL method was also used applying a CNN combined with a BLSTM. More recently, Lima et al. (2019) [8] proposed an end-to-end approach that uses data from a low-cost ...
R2is not a function only of model’s errors, its definition contains an implicit model comparison between the model being analyzed and the constant model that uses only the observed mean to make predictions. As such,R2answers the question:“does my model perform better than a constant...
Through cross-validation MSE, Random Forest Regressor proved to be the model that worked the best. ###Hurdles The biggest challenge coming into this project was the time constraint on data collection. Since the data needed to be gather consistently, there would be limitations on how much ...