Literature Review on “RECOGNITION of STRESS USING FACE IMAGE and FACIAL LANDMARKS”

Abstract: In this project, we propose a stress recognition algorithm using face images and face landmarks by using pi-camera for taking the input image. In the case of stress recognition using a biological signal or thermal image, which is being studied a lot, a device for acquiring the corresponding information is required. In order to remedy this short coming, we proposed an algorithm that can recognize stress from images acquired with a general camera. We also designed a deep neural network that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed. Experimental results show that the proposed algorithm recognizes stress more effectively. We are using convolution neural network (CNN) for classification and training purpose, Har cascade algorithm for face detection, facial landmarks for checking eye and lips, LBPH for face detection.

Keywords: Convolution Neural Network (CNN), Local Binary Pattern Histogram (LBPH), pi-camera.