Towards a Low-Cost Teacher Orchestration Using Ubiquitous Computing Devices for Detecting Student’s Engagement

Algorithm 1

Detect facial feature and head direction.

Input: camera image img in Bitmap//Google Vision APIs only accept bitmap images

Output: facial features (head rotation/title)

1. Detect faces in img using Google APIs FaceDetector and store them in list<FirebaseVisionFace> object faces

2. For of faces list

   i. Set face to faces

   ii. Set headRotation to angle of face

   iii. Set headTilt to angle of face

       //Now using this data for decision-making

   iv. If and //means the student is not looking straight

    a. If warnTeacher is false//if last time he was looking straight, then wait for the next iteration before marking him inactive

            I. Set warnTeacher to true

    b. Else//it means he was also looking somewhere else last time

            I. Mark this student inactive

    c. Else//means the student is looking straight

    d. Set warnTeacher to false//clear previous state

3. End