Algorithm Enables Cameras To Recognize Distinctive Exercise Motions
Wearable sensors such as smartwatches have become a popular motivational tool for fitness enthusiasts, but gadgets do not sense all exercises equally. Researchers at Carnegie Mellon University have found that a stationary camera is a better choice for gym exercises.
Jason Wu, first year human-computer interaction Ph.D. student, received a 2019 Graduate Research Fellowship from the National Science Foundation.
We've become accustomed to our smartwatches and smartphones sensing what our bodies are doing, be it walking, driving or sleeping. But what about our hands? It turns out that smartwatches, with a few tweaks, can detect a surprising number of things your hands are doing.
Thousands of the world’s top researchers, scientists, and designers are traveling to the ACM CHI Conference on Human Factors in Computing Systems (also known as CHI) this weekend. The premier international conference of Human-Computer Interaction will take place in Glasgow, UK from May 4-9, 2019.
“It’s like all of March Madness in one weekend,” said Patrick Carrington, postdoctoral research fellow at the Human-Computer Interaction Institute, of the National Wheelchair Basketball Tournament (NWBT) in Louisville, Kentucky.
Look closer -- the sixteen squares of a quilt found in 3513 Newell-Simon Hall share a quarter-century of technological developments and the birth of the wearable computing industry.
The quilt, which belongs to Dan Siewiorek, Buhl University Professor of Electrical & Computer Engineering and Computer Science, is comprised of 12” squares cut from t-shirts from the course, “Rapid Prototyping of Computer Systems.”
