Recognizing Emotions Expressed by Body Pose using Different Architectures

The project entitled to body pose recognition aims at detecting a persons emotional state by considering their body postures. The project is on Image recognition concept and uses different architectures of Convolutional Neural Networks, it then compares the efficiency among different architectures used. The maximum efficiency achieved in this project work is about 72 %.