US Olympic badminton player tries out AI-assisted training program at CES

The Manila Times

US Olympic badminton player tries out AI-assisted training program at CES  A Taiwanese technology company has developed an AI-assisted program aimed at helping badminton players finesse their game on the court.  US Olympic badminton player Howard Shu tried out the program on Tuesday, January 7, for the first time at CES 2025 in Las Vegas.  The ITRI set up a mini court on the CES showroom floor with the cameras in the corner to capture players smashing the shuttles.  A screen nearby presented the speed of the smash, height of where it would have crossed over the net, and where it would land.  Another screen outside showed the body movement of the players as they hit the shuttles.  REUTERS VIDEO  Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe  Visit our website at https://www.manilatimes.net    Follow us:  Facebook - https://tmt.ph/facebook  Instagram - https://tmt.ph/instagram  Twitter - https://tmt.ph/twitter  DailyMotion - https://tmt.ph/dailymotion    Subscribe to our Digital Edition - https://tmt.ph/digital  Sign up to our newsletters: https://tmt.ph/newsletters   Check out our Podcasts:  Spotify - https://tmt.ph/spotify  Apple Podcasts - https://tmt.ph/applepodcasts  Amazon Music - https://tmt.ph/amazonmusic  Deezer: https://tmt.ph/deezer  Tune In: https://tmt.ph/tunein   #themanilatimes #worldnews #badminton #artificialintelligence

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00:00Yeah, so it's really cool obviously to see it kind of come out of the machine and kind

00:27of give me some data and output that the human eye otherwise wouldn't be able to catch on.

00:33There's things like speed that it was able to catch on, although they do need to fine

00:36tune it because it needs to be in a little bit more of a controlled environment for the

00:40cameras to really catch an accurate speed.

00:43But it's really cool because those are things that the naked eye or human eye wouldn't be

00:46able to give you exactly.

00:59Things like speed, I might be able to tell you, hey, I'm getting a little bit tired at

01:03the end of the match or at the end of the third game, but I wouldn't be able to tell

01:06you exactly how much slower my smash might be getting.

01:09You know, my opponent might be retrieving it because I'm, you know, maybe dropping off

01:13in that smash speed.

01:14But those are little things that if you had data to, you'd be able to kind of refine and

01:18kind of improve in your game.

01:24Yes, based on our system, we can provide the whole information.

01:37Information is not only the report, but also we can replay the image again so you can screen

01:45your information from the image file and you can understand which one you can need to improve

01:53by yourself.

01:54And based on our training, you can improve your skill and you can enhance your performance.

02:00Actually, based on our technology, we are not only using the movement, but also we can

02:07expand this technology to other sports.

02:10For example, just like tennis, table tennis or some football.

02:15Yes.

02:16The height is really, I would say, more accurate here because I was hitting right above that

02:19net level.

02:20So this actually looks pretty accurate as well as the landing space of my shuttle.

02:25I'm excited to see where it goes because we've kind of seen in some other sports right now

02:29how technical they're getting and progressing with technology.

02:32I like to use golf as an example.

02:34You see how technical and how meticulous their players are with ball spin, ball speed, height,

02:40curvature, right?

02:41And so I think those are types of things that we will start to see assimilate into racket

02:45sports as well.

02:47Aiyah!

02:50That's like a record for speed, right?

02:57This results in a compact and portable design.

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