Learning Engagement Detection for e-Learning Platform

Peter Darveau

Peter Darveau

Toronto, Ontario

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  • 0 Collaborators

This app analyzes the facial landmarks of the student to detect the level of engagement while learning ...learn more

Project status: Under Development

oneAPI, Artificial Intelligence

Intel Technologies
oneAPI, OpenVINO, DevCloud

Links [3]

Overview / Usage

e-Learning platforms focus primarily on delivering content. This API focuses on the quality of the platform to measure, track and estimate the amount of in-depth learning actually being provided to the user/student.

Methodology / Approach

The Six Sigma methodology is being used:

  1. Process Mapping - How to connect the user to the API (We are in this stage working with local universities doing research in this field).

  2. Data Collection - Tailoring the API to the user

  3. Data analysis focusing on vital few features using statistical functions

  4. Piloting

  5. Monitor, Document, Institutionalize/Commercialize

Technologies Used

Hi-resolution camera

API development to be partially funded privately and through applicable grants.

OneAPI gives us a means to stay current with the latest performance of emerging technologies and easily upgrade when/if needed.

[1] Darveau, P. Prognostics and Availability for Industrial Equipment Using High Performance Computing (HPC) and AI Technology. Preprints 2021, 2021090068 .

[2] Darveau, P., 1993. C programming in programmable logic controllers.

[3] Darveau, P., 2015. Wearable Air Quality Monitor. U.S. Patent Application 14/162,897.

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