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Moneyball 2.0: Sensors, Computer Vision, and AI. How can technology help sport science?

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Moneyball 2.0: Sensors, Computer Vision, and AI. How can technology help sport science?

  • 講者黃致豪 教授 (國立台灣體育運動大學運動資訊與傳播學系)
    邀請人:陳伶志
  • 時間2020-09-25 (Fri.) 10:30 ~ 12:30
  • 地點資訊所新館106演講廳
摘要

We are in the era of cheap computing power, inexpensive high speed cameras, 5G network and large storage space. That means chances for everyone, with one high speed camera, anyone can run motion analysis for baseball pitchers now. But which specialty is needed? How do teams use technology? How can you get a job with baseball teams? How do geeks talk to athletes? Jason Jyh-How Huang, with his experience working multiple years with different professional baseball teams, will tell you the answers in this talk.
 

BIO

Jason Jyh-How Huang got his PhD degree in CS, at Univ of Colorado at Boulder. He is the first, and only professor leaving NTNU (台師大) CS department for NTUS (臺體大). He's gotten trust from both pro baseball teams, coaches, and players. Some hitters and pitchers trained with his last offseason and are having their career year this year. There are many more to come this offseason.  【國立臺灣體育運動大學運動資訊與傳播學系