Attentiveness Monitoring System

Monitoring attentiveness of the audience is a difficult task for human evaluator therefore; our proposed model detects an individual person through camera in run-time and implements Facial Expressions Recognition, Eye Detection and Tracking and Head Pose Estimation to finally determine how attentive

Project Title

Attentiveness Monitoring System

Project Area of Specialization

Artificial Intelligence

Project Summary

Monitoring attentiveness of the audience is a difficult task for human evaluator therefore; our proposed model detects an individual person through camera in run-time and implements Facial Expressions Recognition, Eye Detection and Tracking and Head Pose Estimation to finally determine how attentive that particular individual was throughout the session. This model assists the human evaluator and is implemented using the concepts of Artificial Intelligence and Machine Learning. The end product is a program that applies certain algorithms to some application and also a software package that is useful in certain applications. This proposed system can be further enhanced in future to cope up with the pandemic situation that we are facing these days as its difficult for teachers to monitor attentiveness of whole class thus, this system can assist the teacher on measuring how attentive are the students of class by measuring attentiveness of individual student and then giving collective result.

Project Objectives

The main objective of this project is to monitor an individual based on three parameters Facial Expression Detection, Eye Detection and Tracking and Head Pose Estimation to finally determine attentiveness of that person at run-time to finally assist human evaluator in the evaluation of subject or how attentive was the subject throughout the session by generating a report at the end of session. The report will contain the total time the subject was attentive throughout the session. Some of the completeness goals are: ? The model will detect and highlight a human being through camera (Face Recognition). ? Implementation of Facial Expressions Recognition. ? Implementation of Eye Detection and Tracking. ? Implementation of Head Pose Estimation. ? Code Optimization for Real time processing. ? Three parameters all implemented and optimized for real time processing.

Project Implementation Method

The “Attentiveness Monitoring System” is an algorithm which will measure the level of attentiveness of an individual in the real time. The attentiveness of an individual will be measured on the basis of three parameters which include head motion, body posture and facial expression/emotions. In order to maintain the safety only privileged users with the valid credentials will be able to run the program. In order to run the program the administrator will be required to login into the system (Windows login). The camera will be mounted in front of the subject which will get the input. The input will be passed in the form of real time video to our algorithm for processing. The algorithm will run on an already trained machine. In the end the output will be generated in the form of report. After the completion of process or task administrator has to end the session using logout functionality (Windows logout).

Benefits of the Project

We can introduce this system in market to determine attentiveness of an individual and mainly Universities or other research related firms can use it to determine the attentiveness of an individual furthermore, this system can be implemented in cars or trucks to keep track of attentiveness of the driver and this project can be further upgraded and used for automated attendance or an automated behavior report generated of any individual over a certain period of time. Moreover, in recent pandemic situation it can be really helpful to keep track of all students in an online teaching scenario

Technical Details of Final Deliverable

• Complete the Machine Learning Course • Complete the Image Processing Course • Finalize prototype • Develop/Find an appropriate dataset • Data Cleaning • Identify Human and its Body Postures • Identify Face expressions and Head Poses • Check the similarity between two images • Code Optimization • Identify Inattentiveness • Identify Attentiveness • Real time Video Processing • Identify Attentiveness in real time • Initial Testing Phase • Testing and Modifications • Finalization and Documentation

Final Deliverable of the Project

Software System

Core Industry

Education

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com