Use of Haar Features and Multi-Layer Perception to Support Connectivism
Bharadwaj Vishanth Thiyagarajan · 2015
MOOCs have refined the way of teaching where the electronic devices can provide knowledge on the go, which says that knowledge is omnipresent. The connectivism is a technique where the knowledge is contained in the electronic media, which can be delivered as per the requirement. The use of Face detection with Haar based algorithms help to track the current status of the user and perform the teaching accordingly. The Multi-Layer Perception classifier is used to learn about the user attributes and provides the best teaching method to the user. These methods aim to deliver the knowledge completely and in the most effective form in which the user can comprehend. The major parts of the paper include Prediction, Face-Tracking, Face-Detection, Connectivism and "Teach and Learn". The use of multi-perception is for a dual purpose, which includes the training of the previous data and also includes the storage of the real-time data for future prediction purpose. This includes 4 teaching techniques for the students who are physically normal and 2 for the students who are visually impaired or deaf. Hence this proposed project could be a personal assistant for the students by tracking, teaching and also learning from the real-time.