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Waterloo Engineering researchers have upped the evolving game of automated hockey analysis with new advances to follow the puck and track player movement with more accuracy than ever before.

In two recent studies, the researchers developed artificial intelligence (AI) software to overcome challenges posed by motion blurring and obstructed views in broadcast video of the fast-paced sport.

Technology developed at Waterloo Engineering uses radar and artificial intelligence (AI) to unobtrusively monitor people in hospitals and long-term care facilities for early signs of health problems based on how fast they walk.

“Walking speed is often called a functional vital sign because even subtle declines can be an early warning of health problems,” said Dr. Hajar Abedi, a former postdoctoral researcher in electrical and computer engineering at Waterloo.

A new artificial intelligence (AI) tool developed by Waterloo Engineering researchers could improve the diagnosis and treatment of eye diseases by enhancing the clarity and detail of medical images doctors rely on.

The AI model reverses quality loss and reconstructs reliable images of the cornea, the transparent tissue in the front of the eye, after researchers taught it the physics behind the imaging process.

Linda Wang quickly pivoted her work last spring to develop technology to detect COVID-19.

Wang, who will receive her master’s degree in systems design engineering this week, helped create COVID-Net, now an open-source tool designed to Linda Wang and parents at 2018 convocationscreen coronavirus cases from chest X-ray images. 

Linda Wang, middle, celebrated receiving her BASc with her parents in 2018.  

The much-anticipated REEM-C recently arrived on campus and has already started an extensive training program.

The humanoid robot is described as the slightly smaller and lighter brother of TALOS, the full-size black and purple robot that was welcomed with great Katja Mombaur and REEM-Cfanfare at Engineering 7 almost two years ago.
 

Katja Mombaur greets REEM-C, the University's newest humanoid robot