Publication

Abstract : Online classroom discipline is a key concern for teachers now a days. The issue also attracts significant attention from the public and the media. In addition to this using mobile phone in class is one of the reasons for not paying the attention. For avoiding this issue, developed a model called "Class Room Attention Model". The proposed model collects the data using camera, and with the help of machine learning models automatically detects whether the student in the class is paying attention or not. The suggested method uses Tensor Flow to detect the mobile phone and media pipe for extracting the body features using the YOLO model. The model detects presence of mobile in the classroom in addition to the prediction of the students attentiveness. The proposed efficient and accurate model to identify the attention of a student in a class room with the random forest classifier provided an accuracy of 97.65 % for attention of student and 93.81% for mobile detection.