EMOTSQUAD: Emotion Detection and Attendance Management System

Abstract

The most expressive way humans display emotions is through their facial expressions. It becomes
difficult for a professor to look after each student completely. Our system focuses on improvising and
making existing systems convenient through an application. To analyze and monitor the behavior of
students present in the classroom, the system performs face recognition and analysis is done on the data
generated. In this paper, we propose an automated emotion detection and attendance management
system. The system is based on face detection and recognition techniques and algorithms. It detects the
student through the camera and marks the student as a present. The student is monitored throughout the
lecture and emotions are captured continuously which helps us to analyze the behavior of students and the
whole class behavior during each lecture. The working of the system and algorithms are described in this
paper