MTL-CNNs*-loss-function (softmax, sigmoid)	The trained Multi-task learning model using softmax and sigmoid loss with two simple convolutional Neural Network respectively
MTL-MNV2-loss-function (softmax, softmax)	The trained Multi-task learning model using softmax loss with reduced MobileNetV2 and simple convolutional Neural Network
MTL-MNV2-loss-function (softmax, mse)	The trained Multi-task learning model using softmax and mse loss with reduced MobileNetV2 and simple convolutional Neural Network respectively
MTL-MNV2-CNN-loss-function (softmax, sigmoid)	The trained Multi-task learning model using softmax and sigmoid loss with reduced MobileNetV2 and simple convolutional Neural Network respectively
MTL-MNV2*-loss-function (softmax, softmax)	The trained Multi-task learning model using softmax loss with reduced MobileNetV2 and simple convolutional Neural Network
MTL-MNV2*-loss-function (softmax, mse)	The trained Multi-task learning model using softmax and mse loss with reduced MobileNetV2 and simple convolutional Neural Network respectively
MTL-MNV2*-loss-function (softmax, sigmoid)	The trained Multi-task learning model using softmax and sigmoid loss with reduced MobileNetV2 and simple convolutional Neural Network respectively
PSPI	Prkachin and Solomon Pain Intensity
RF / RFc	Random Forest / Random Forest classifier
RFc-BL	Random Forest classifier baseline method
two-CNNs	Combination of two simple convolutional neural networks
UNBC-McMaster Shoulder Pain Database	University of Northern British Columbia-McMaster Shoulder Pain Database
X-ITE Pain Database	Experimentally Induced Thermal and Electrical Pain Database