BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260514T064900Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12672\nMotion sensing and activ
 ity recognition have been getting a lot of attention in the recent years.&n
 bsp;There are several use cases and applications where activity recognition
  is useful, including:\n\n	Autonomous vehicles\n
 Motion tracking for interactive gaming\n
 Augmented reality (for CGI applications)\n\nIn this presentation, I'll 
 discuss how machine learning (ML) and artificial intelligence (AI) techniqu
 es enable the activity recognition, based on the image data. I'll show 
 dataset and code examples of how this prediction modeling works.\nI'll 
 also talk about how real-time activity recognition works in edge computing 
 use cases, like on a mobile phone or an IoT device.\nWe will cover:\n\n
 Deep Learning\n	Activity Recognition Use Case\n	Technologies and Tools\n
 Application Demo\n	Conclusions\n\n 
DTSTART:20210422T144000
SUMMARY:How Data Analytics and Machine Learning Can Drive Online Fitness an
 d Activity Recognition Apps
DTEND:20210422T152959
LOCATION: See Description
END:VEVENT
END:VCALENDAR