Fig. 4: Detailed view of our model. | Nature Communications

Fig. 4: Detailed view of our model.

From: Learning-based 3D human kinematics estimation using behavioral constraints from activity classification

Fig. 4

a Overview schematic of how information from Activity Classifier (AC) is incorporated with Kinematics Regressor (KR) for velocity and trajectory estimation. b Overview schematic of how information from Activity Classifier (AC) is incorporated with Kinematics Regressor (KR) for joint angle estimation. c Detail view of Dilated Convolution layers (DC). The highlighted region in red shows how the features are operated in dilated convolution. d Detailed view of Feature Aggregation Network (FAN). 1×1 conv represents the one-by-one convolution layer, and ReLU represents the Rectified Linear Unit. e Detailed view of how features from AC are incorporated with KR through FAN.

Back to article page