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The All England Lawn Tennis Club and its
technology partner IBM said the Watson AI platform had been
taught to recognize players' emotions, which it would combine
with an analysis of crowd noise, players' movements and match
data.
IBM's Sam Seddon said the company was using machine learning to
trying to find those seconds when players had a heightened sense
of emotion after an exciting shot or rally.
"If you've got the visual element from the player, and you know
that it's a tight pressure point in the match, then those are
the points that you are going to really target in on in the
highlights package," he said in an interview.
He said the AI platform also analyzed noise from the thousands
of spectators who attend the annual tournament in south-west
London.
"We are listening for the volume of the crowd - if you have got
a fantastic rally that noise levels will go up and down during
that point," he said.
"When that is happening, we flag it as particularly
interesting."
Wimbledon was an early adopter of AI, Seddon said, and had
widened its uses since it was first deployed in 2015.
This year for example, he said, IBM's Watson AI technology will
power a Wimbledon chatbot service, delivered within Facebook
Messenger, that will allow fans access to tailored information
on scores, news and players.
(Reporting by Paul Sandle; Editing by Alexander Smith)
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