Happiness Measurement Via Classroom Based on Face Tracking

Abstract

Teaching and learning are important factors in our life, so, increasing the happiness during class cause raising the ability of learning. This research focused on the evaluation of the learning process via classroom before and after applying the proposed method. One of the big challenge during classroom lesson, the students after a short period of time (about 10-15 minutes) at the beginning of the session, turn off their minds and remain absolutely out of understanding. Our goal is to revitalize the classroom environment so that you are always attentive to the lecture. The proposed approach aims to track and detect the emotional facial expression and transient from emotional facial expression to raise the happy expression in order to reach the classroom happiness. Image processing issue is an important part of this approach in which based on face recognition and tracking, then evaluates the students’ happiness according to the proposed mode that located in the classroom. This model is implemented from Raspberry Pi device, tracking camera and high definition screen. The implemented algorithm allows you to continue of face tracing and make rising of happiness as possible. Increasing happiness is an important factor in making students more attractive and more understanding for the classroom lecture. This approach is implemented to cover both software and hardware, so, it is acceptable to work in real time.

A review of human skin detection applications based on image processing

“…As a result of face tracking help security forces to investigate the wrongdoing and crimes. Analysts developed a technique for facial tracking based on autonomy-oriented entities (AOEs), and deep learning concepts [43], SDN algorithm [44][45][46][47] to highlight skin color, and extraction. DATA: (APIDIS, from video, Personal data, Visual Tracker Benchmark, images of the same person).…”