Researchers at Vanderbilt University have developed artificial intelligence technology to assist basketball players in improving their game on the court.
Jules White, associate dean for strategic learning programs and associate professor of computer science and computer engineering, and Carlos Olea, a Ph.D. student in the Department of Computer Science, developed an AI software called a temporal relational network to help determine the context and mechanics behind each shot a player takes.
NOAH provided more than 50,000 hours of video footage, which the researchers used to classify five different shot types: Free throw, catch and shoot, off the dribble, jab step fake, and step back shot. Using the AI, they were able to optimize shot type recognition, achieving an accuracy of 96.8% on 1,500 novel shots.
"We connected and talked through having a research project where we would look into developing deep learning models to help them identify what was going on," White said."Basically the AI is trying to learn and understand what are the movements that relate to different types of shots. We’re basically teaching it what things look like on video."
He said Olea's role was using all of those examples to teach the AI how to identify the shot type, with the researcher's code essentially telling the AI what it did wrong, and where it made mistakes. White called it an interactive process where the AI is given examples and tries to predict what the correct answer is for those examples. After that, the program goes back and sees what it did wrong, and it updates its understanding of those movements.
The researchers said they started with basic things, but they hope to grow – with more research – to other portions, eventually assigning attributes to different players. They said that being partnered with NOAH was very helpful in both understanding the statistics and context behind each shot. "So my bet is that over time the type of advanced things that we are talking about here could be done on your phone," he added, saying it could be an app installed on your phone, that people can use at home or at the gym."I think the long-term vision as the AI gets more sophisticated is that it would head in a direction like that."
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