The American Society for Engineering Education (ASEE) Mid-Atlantic Section Fall 2017 Conference, which took place at Penn State Berks from October 6-7, was a great opportunity to learn the research work of other peers in the field of Eng. education. In this conference, I had the chance to present a novel method that integrates intelligent system technology, computer vision, and machine learning to provide real-time ergonomic feedback and educational content to students. Our paper titled “Towards Real-time Ergonomics Feedback and Educational Content with the use of Co-Robots“ (see PDF) presents our method and an overview of recent advancements in technology that make this proposed method feasible.
In our presentation, we had several videos that illustrated the state-of-the-art computer vision algorithms and machine learning applications in Eng. education. Here are just a couple of pictures of our presentation (see presentation).
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